PM imported Flashcards
1
Q
A/B Testing
A
A method of comparing two versions (A and B) of a product feature or webpage to determine which performs better based on metrics like conversion rate. Example: A ➝ Button Red | B ➝ Button Blue → Measure Click Rate.
2
Q
Acceptance Criteria
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Predefined conditions or requirements that a product or feature must meet to be accepted by stakeholders. Helps ensure clarity and shared understanding between product, design, and engineering.
3
Q
Agile Methodology
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An iterative approach to software development emphasizing flexibility, team collaboration, and customer feedback. Example: Plan → Build → Test → Review → Iterate.
4
Q
Alpha Testing
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Internal product testing conducted by the development team before releasing to external users. Helps identify bugs early.
5
Q
Analytics Dashboard
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A visual interface displaying key metrics (KPIs, user behavior, etc.) in real time to track product performance. Example Metrics: DAU, retention rate, bounce rate.
6
Q
API Integration
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The process of connecting two systems or platforms through APIs to enable data exchange. Example: Payment Gateway ↔ E-commerce App.
7
Q
Backlog Grooming
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The process of reviewing and refining the product backlog by re-prioritizing, estimating, or breaking down tasks. Done regularly to keep the backlog healthy.
8
Q
Beta Testing
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Releasing the product to a limited group of external users to identify bugs and gather feedback before full launch.
9
Q
Burndown Chart
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A visual tool used in Agile to show remaining work vs. time in a sprint. Ideal trend: a downward-sloping line.
10
Q
Business Model Canvas
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A strategic tool used to visualize and describe a product’s business model including value proposition, customer segments, and revenue streams.
11
Q
Churn Rate
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The percentage of users who stop using the product over a period. Formula: (Users Lost ÷ Total Users) × 100.
12
Q
Click-Through Rate (CTR)
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The ratio of users who click a link to the number of total users who view it. Formula: (Clicks ÷ Impressions) × 100.
13
Q
Competitive Analysis
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The process of identifying and evaluating your competitors’ strengths, weaknesses, and market position to inform product strategy.
14
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Conversion Funnel
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The journey users take from awareness to conversion. Stages: Awareness → Consideration → Action.
15
Q
Customer Acquisition Cost (CAC)
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The average cost of acquiring a new customer. Formula: Total Marketing & Sales Cost ÷ New Customers Acquired.
16
Q
Customer Journey Mapping
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A visual representation of the end-to-end user experience across touchpoints. Helps identify friction and opportunities.
17
Q
Customer Lifetime Value (CLV)
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The total revenue a business expects from a customer over the lifetime of the relationship. Formula: ARPU × Customer Lifespan.
18
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Customer Persona
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A semi-fictional profile representing a typical user based on research. Includes demographics, goals, pain points.
19
Q
Customer Segmentation
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The process of dividing users into groups based on traits like behavior, geography, or spending to tailor offerings.
20
Q
Daily Active Users (DAU)
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The number of unique users who engage with your product in a 24-hour period. Metric for engagement.
21
Q
Daily Stand-up
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A short daily meeting in Agile teams to share updates, blockers, and plans for the day. Lasts ~15 minutes.
22
Q
Data-Driven Decision Making
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Making product decisions based on quantitative data analysis rather than intuition or opinion.
23
Q
Design Sprint
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A 5-day structured process for rapidly solving problems and testing ideas through prototyping and feedback.
24
Q
Design Thinking
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A user-centered problem-solving approach involving empathizing, ideating, prototyping, and testing.
25
Discovery Phase
Initial phase of product development to understand the problem, validate needs, and explore solutions.
26
Epic
A large body of work that can be broken down into smaller user stories. Represents high-level features or initiatives.
27
Feature Creep
The continuous addition of features beyond core functionality, often leading to complexity and delays.
28
Feature Prioritization
The act of deciding which product features to build first using frameworks like RICE or MoSCoW.
29
Fibonacci Estimation
A method of story point estimation in Agile using the Fibonacci sequence (1, 2, 3, 5, 8…) to reflect effort.
30
Funnel Analysis
Analyzing each step of the user journey to identify where users drop off. Example: Signup → Add to Cart → Checkout.
31
Gantt Chart
A timeline chart used to plan and visualize project tasks, durations, and dependencies.
32
Go-to-Market Strategy
A plan outlining how a product will be launched, promoted, and sold to customers. Includes pricing, positioning, and channels.
33
Growth Hacking
Rapid experimentation across marketing and product to identify the most efficient ways to grow the business.
34
Impact Mapping
A strategic planning technique to visualize goals, actors, and deliverables. Helps connect features to outcomes.
35
Incremental Innovation
Small, continuous improvements to existing products rather than radical redesigns.
36
Innovation Accounting
A set of metrics and learning goals used to measure progress when building new products under uncertainty.
37
Innovation Funnel
A pipeline approach where many ideas are generated, validated, and filtered down to few viable innovations.
38
Innovation Metrics
KPIs used to track innovation efforts like experiment success rate, idea-to-launch ratio, or R&D ROI.
39
Iteration
A single development cycle in Agile, typically leading to a new product version or feature.
40
Job Stories
A format for describing user needs focusing on context and motivation: 'When..., I want to..., so I can...'.
41
Jobs-to-be-Done (JTBD)
A framework for understanding customer needs based on the 'job' they’re hiring the product to do.
42
Kanban Board
A visual tool with columns (To Do, In Progress, Done) to manage tasks and workflow.
43
Kano Model
A framework to categorize features into Must-Have, Performance, and Delighters based on customer satisfaction.
44
Key Performance Indicators (KPIs)
Quantifiable metrics that reflect how well a product or team is achieving objectives.
45
Lean Canvas
A one-page business plan format that captures the essential elements of a startup: problem, solution, channels, etc.
46
Lean Product Development
Building products using minimal resources by focusing on validated learning, MVPs, and fast iteration.
47
Lean Startup
A methodology for startups to build quickly, test hypotheses, and learn to reduce waste and increase success.
48
Market Research
The process of gathering data about target users and competitors to inform product decisions.
49
Market Requirements Document (MRD)
A document outlining customer needs, market opportunity, and requirements for a new product.
50
Minimum Lovable Product (MLP)
An MVP with enough polish and delight to make users love the product, not just tolerate it.
51
Minimum Marketable Feature (MMF)
The smallest set of functionality that delivers value to users and can be marketed independently. Focuses on fast delivery of user-visible outcomes.
52
Minimum Viable Product (MVP)
The simplest version of a product that can be released to validate assumptions and gather user feedback. Example: Landing Page → Email Signup → User Feedback.
53
Monthly Active Users (MAU)
A metric that counts the number of unique users who interacted with a product within a 30-day period. Used to measure growth and engagement.
54
Monthly Recurring Revenue (MRR)
Predictable, recurring revenue from subscriptions in a given month. Formula: MRR = Number of Subscribers × Average Revenue per User.
55
Net Promoter Score (NPS)
A customer loyalty metric calculated by asking users how likely they are to recommend a product on a scale of 0–10. NPS = % Promoters − % Detractors.
56
Objectives and Key Results (OKRs)
A goal-setting framework with qualitative objectives and measurable key results. Example: Objective → Improve Onboarding | Key Result → Reduce drop-off by 30%.
57
Opportunity Assessment
Evaluating a product or feature idea based on potential value, feasibility, and alignment with goals.
58
Opportunity Scoring
A prioritization method using weighted criteria like impact, confidence, and effort to rank ideas. Often paired with ICE or RICE models.
59
Outcome-Driven Innovation
A framework that focuses on solving user jobs and delivering measurable outcomes rather than outputs.
60
Pain Points
Specific problems or frustrations users experience, which the product aims to address. Example: Long checkout time → Abandoned carts.
61
Pivot
A fundamental shift in product direction based on feedback or data. Example: B2C → B2B model.
62
Positioning Statement
A concise message describing how a product solves user needs better than competitors. Often includes audience, problem, solution, and differentiation.
63
Problem Statement
A clear articulation of a user problem, used to align the team. Format: 'Users struggle with X because Y, which leads to Z.'
64
Product Adoption Curve
A model showing stages of adoption: Innovators → Early Adopters → Early Majority → Late Majority → Laggards.
65
Product Analytics
The practice of collecting and analyzing product usage data to make informed decisions. Tools: Mixpanel, Amplitude.
66
Product Backlog
An ordered list of features, bugs, and technical work that serves as the source for sprint planning.
67
Product Brief
A short document that outlines the product’s value, audience, goals, and requirements. Shared with stakeholders.
68
Product Discovery
The process of understanding user needs and testing ideas before development. Involves interviews, surveys, and prototypes.
69
Product Lifecycle Management (PLM)
Managing a product from ideation to retirement. Stages: Introduction → Growth → Maturity → Decline.
70
Product Market Fit
When a product satisfies strong market demand. Often measured by retention, growth, or Sean Ellis Test ('Would you be disappointed if...?').
71
Product Metrics
Quantitative indicators like DAU, retention rate, churn rate, and NPS used to track product health.
72
Product Owner
In Scrum, the person responsible for maximizing product value, managing the backlog, and defining stories.
73
Product Portfolio Management
Overseeing multiple products to ensure alignment with business strategy, resource allocation, and risk balancing.
74
Product Requirements Document (PRD)
A comprehensive document detailing what needs to be built, including features, UX flows, constraints, and success metrics.
75
Product Roadmap
A visual or written plan outlining future product releases and strategic direction over time.
76
Product Strategy
A high-level plan describing how a product will achieve business goals. Includes market analysis, positioning, and roadmap.
77
Product Vision
A forward-looking statement about what the product aspires to achieve in the long term.
78
Prototype
A rough version of the product used for early testing and feedback. Types: low-fidelity (paper) or high-fidelity (clickable UI).
79
Release Plan
A document or calendar that outlines the timeline and scope of features being released.
80
Retention Rate
The percentage of users who return to the product over a specific period. Retention = (Users at End − New Users) ÷ Users at Start.
81
Return on Investment (ROI)
A measure of profitability. Formula: (Revenue − Cost) ÷ Cost. Helps evaluate feature or project value.
82
RICE Scoring Model
A prioritization framework: Reach × Impact × Confidence ÷ Effort. Used to compare feature ideas.
83
Roadmap Milestones
Key checkpoints or deadlines in a roadmap to track progress toward major goals.
84
Scrum
An Agile framework that organizes work into sprints with defined roles (Product Owner, Scrum Master, Developers).
85
Sprint Planning
A Scrum ceremony where the team selects backlog items for the upcoming sprint and plans the work.
86
Stakeholder Management
Engaging and aligning all people affected by the product. Involves communication, updates, and expectations setting.
87
Story Mapping
A visual tool to break down features into user tasks and prioritize them. Helps in release planning.
88
SWOT Analysis
Strategic tool identifying Strengths, Weaknesses, Opportunities, and Threats of a product or company.
89
Accessibility Audit
Review of a product to ensure it’s usable by people with disabilities. Checks include color contrast, keyboard nav, screen readers.
90
Account-Based Marketing (ABM)
A marketing strategy targeting high-value accounts with personalized campaigns, often used in B2B.
91
Affinity Mapping
Grouping similar user feedback, ideas, or problems to identify patterns. Common in design sprints or research.
92
API Rate Limiting
A restriction that limits how many API requests a client can make in a given time. Example: 1000 req/hr.
93
ARPU (Average Revenue Per User)
A key revenue metric. Formula: Total Revenue ÷ Number of Users. Useful for forecasting and pricing.
94
Async Communication
Exchanging messages without needing real-time interaction. Tools: Email, Slack, Loom. Useful for distributed teams.
95
Autonomous Teams
Teams that make decisions independently, owning their roadmap, execution, and outcomes.
96
B2B2C Model
Business model where a company sells to businesses (B2B) who then sell to consumers (B2C). Example: Shopify → Store Owner → Shopper.
97
Back-End Architecture
The server-side structure and logic behind the product, including databases, APIs, services, and scalability.
98
Behavioral Segmentation
Dividing users based on behavior like usage frequency, purchase patterns, or engagement level.
99
Benchmarking
Comparing product metrics or features against industry standards or competitors to identify gaps and opportunities.
100
Blameless Postmortem
A retrospective analysis of an incident or failure focused on learning and process improvement, not assigning blame. Promotes a culture of safety and accountability.
101
Brand Equity
The value of a brand as perceived by customers, influenced by recognition, loyalty, and associations. High brand equity increases pricing power.
102
Build-Measure-Learn Loop
A Lean Startup cycle for rapid learning. Build MVP → Measure user behavior → Learn and iterate.
103
Buyer's Journey
Stages a customer goes through before purchase: Awareness → Consideration → Decision.
104
CAPEX vs OPEX
Capital Expenditure (CAPEX) is upfront investment (e.g. servers). Operating Expenditure (OPEX) is recurring costs (e.g. cloud hosting). Important for budgeting.
105
Card Sorting
A UX research method where users categorize content to inform navigation or information architecture.
106
Cash Flow Forecasting
Predicting future cash inflows and outflows to ensure liquidity. Critical for financial planning.
107
Changelog Management
Tracking and communicating product changes to internal teams or customers. Helps transparency and adoption.
108
Channel Strategy
Defining how a product reaches the customer—e.g., direct sales, partners, app stores. Impacts distribution and revenue.
109
CLTV:CAC Ratio
Customer Lifetime Value to Customer Acquisition Cost ratio. Healthy benchmark: > 3:1. Measures sustainability.
110
Cognitive Load
The mental effort required to use a product. Lower cognitive load = better usability.
111
Cold Outreach
Unsolicited communication to prospects (e.g., emails, calls) to generate leads. Often used in B2B sales.
112
Competitive Moat
A sustainable advantage that protects a product from competitors (e.g., network effects, proprietary data).
113
Compliance Requirements
Legal and regulatory standards a product must meet (e.g., GDPR, HIPAA, PCI-DSS).
114
Concept Testing
Validating early product ideas with target users before development. Reduces risk of building the wrong thing.
115
Consumer Insights
Deep understanding of consumer behavior and preferences used to shape product and marketing decisions.
116
Continuous Discovery
Ongoing process of learning about user needs through interviews, experiments, and feedback.
117
Continuous Feedback Loop
Integrating constant user feedback into the product lifecycle for ongoing improvements.
118
Continuous Integration
DevOps practice of regularly merging code changes and running automated tests to detect issues early.
119
Conversion Rate Optimization (CRO)
Improving the % of users who complete a desired action (e.g., sign-up, checkout). Techniques: A/B testing, UI changes.
120
Cost Per Acquisition (CPA)
The average cost to acquire a new customer. Formula: Total Campaign Spend ÷ Conversions.
121
Cost of Delay
The financial impact of postponing feature delivery. Helps prioritize work with high urgency.
122
Critical Path Method
Project management technique to identify tasks that directly affect the timeline. Delays on critical path delay the project.
123
Cross-Sell Strategy
Encouraging customers to buy additional, complementary products. Example: Phone → Case & Charger.
124
Cross-Functional Alignment
Ensuring teams like product, engineering, design, and marketing share goals and collaborate efficiently.
125
Customer Advisory Board
A group of key customers who provide feedback and influence the product roadmap.
126
Customer Data Platform (CDP)
A centralized system that collects and unifies customer data across channels for better segmentation and personalization.
127
Customer Effort Score (CES)
Survey asking how easy it was for customers to complete a task. Lower score = better experience.
128
Customer Escalation
When a customer issue is raised to higher priority due to severity or lack of resolution.
129
Customer Interviews
Qualitative research involving one-on-one conversations with users to uncover needs, pain points, and behaviors.
130
Customer Onboarding
The process of helping new users get started with a product. Includes walkthroughs, emails, and support.
131
Customer Pain Index
A ranking of user problems by severity and frequency to guide prioritization.
132
Customer Satisfaction Score (CSAT)
A metric based on a survey asking users to rate satisfaction (usually on a 1–5 scale). CSAT = % satisfied responses.
133
Customer Support Playbook
A standardized guide for handling support issues. Includes tone, workflows, and escalation paths.
134
Customer-Facing Roadmap
A version of the roadmap shared with users to communicate upcoming features and build trust.
135
Customer-Led Growth
A strategy where feedback and demand from customers directly shape product development and prioritization.
136
Data Anonymization
Masking personal data to protect privacy while allowing analysis. Required for compliance (e.g., GDPR).
137
Data Governance
Managing data availability, quality, and security across the organization. Includes policies and roles.
138
Data Pipeline
A set of processes for collecting, processing, and storing data from various sources.
139
Data Warehouse
A centralized repository optimized for analytical queries and reporting. Used in BI and product analytics.
140
Decision Matrix
A tool to compare options using weighted criteria. Helps make objective decisions.
141
Defect Density
The number of bugs per unit of code (e.g., bugs per 1,000 lines). Used to measure code quality.
142
Demand Forecasting
Predicting future user or market demand to align product and resource planning.
143
Demographic Segmentation
Dividing users based on traits like age, gender, income, or location to tailor experiences.
144
Design Debt
Accumulated compromises in design that make future work harder. Analogous to technical debt.
145
Design System Governance
The process of maintaining and evolving a shared design system, including approval flows and consistency checks.
146
Developer Experience (DX)
How easy and efficient it is for developers to build, test, and deploy within your system.
147
Digital Adoption Platform (DAP)
A tool that overlays a product to guide users with in-app messages, walkthroughs, and tooltips, improving onboarding and retention.
148
Digital Shelf Optimization
Improving how products appear on e-commerce platforms (titles, images, SEO, categorization) to increase visibility and conversion.
149
Discounting Strategy
A pricing tactic offering temporary price reductions to drive acquisition, retention, or clear inventory. Should align with business goals.
150
Discovery Interview
Unstructured conversation with a user to uncover needs, goals, and pain points. Part of the discovery phase.
151
Double Diamond Framework
A design thinking model with 4 stages: Discover → Define → Develop → Deliver. Helps teams explore and narrow ideas.
152
Early Adopters
Users who embrace new products early. Valuable for feedback and product validation.
153
Earned Media Value (EMV)
The value of exposure gained through organic channels like PR, reviews, or shares. Metric: Estimated Ad Equivalent.
154
Edge Case
Unusual or extreme usage scenario not common but important to handle (e.g., leap years in date logic).
155
Elevator Pitch
A concise, compelling product description meant to be delivered in under 30 seconds. Format: Problem → Solution → Value.
156
End-to-End Testing
Validates complete workflows from start to finish to ensure systems work together. Example: Signup → Payment → Confirmation.
157
Engineering Velocity
The rate at which engineering delivers features. Measured by story points, commits, or PRs per sprint.
158
Ethnographic Research
Observing users in their natural environment to understand behaviors and context. Provides deep qualitative insights.
159
Experimentation Roadmap
A prioritized plan of product experiments designed to test hypotheses and drive learning.
160
Exploratory Testing
Unscripted testing where testers actively explore the application to find bugs. Useful for early-stage products.
161
Feature Flagging
A technique to turn features on/off without code deployment. Used for controlled rollouts and A/B tests.
162
Feature Toggle
Another term for feature flag. Allows conditional display or behavior based on settings or user group.
163
First Click Testing
A usability test to measure where users click first when attempting a task. Indicates navigational clarity.
164
First-Mover Advantage
Benefits gained by being the first to market, such as brand recognition or market share.
165
Fixed vs Variable Costs
Fixed costs remain constant (e.g. rent); variable costs change with volume (e.g. hosting fees). Important in pricing models.
166
Flywheel Model
Growth model where user engagement → user value → advocacy → more users. Example: Amazon reviews attract buyers.
167
Forecast Accuracy
Measures how close predicted values (e.g., sales, signups) were to actual results. Formula: 1 − |Actual − Forecast| ÷ Actual.
168
Freemium Model
Business model offering a free tier with basic features and paid upgrades. Used for viral growth and monetization.
169
Functional Specification Document
Detailed document that outlines how a feature or system should behave. Used by engineering to implement requirements.
170
Gamification Strategy
Applying game mechanics (points, badges, leaderboards) to non-game contexts to increase engagement.
171
Gap Analysis
Comparing current vs. desired performance to identify missing capabilities or opportunities.
172
General Availability (GA)
The phase when a product is stable, fully tested, and released to all customers.
173
Growth Loops
A self-sustaining system where product use drives more growth. Example: Invite → New User → Invite Others.
174
Hard Launch
Full product release with full marketing and PR push. Opposite of soft launch.
175
Heatmap Analysis
Visual representation of where users click, scroll, or hover. Used to analyze usability and behavior.
176
High-Fidelity Prototype
A polished, interactive prototype resembling the final product. Useful for usability testing and stakeholder demos.
177
Hook Model
A framework for habit-forming products: Trigger → Action → Variable Reward → Investment.
178
Hybrid Monetization
Combining multiple revenue streams, e.g. freemium + ads + transactions. Maximizes user value.
179
Inbound Sales
Sales approach where leads come from user interest (e.g. content, SEO) rather than outbound cold calls.
180
Incident Response Plan
A predefined process for detecting, responding to, and recovering from service disruptions or security breaches.
181
Innovation KPI Dashboard
A dashboard displaying metrics like experiment velocity, idea success rate, and learning cycles to track innovation efforts.
182
Insights Repository
A centralized place to store qualitative and quantitative research findings for team reference.
183
Integration Test Coverage
Metric representing the percentage of system integration paths tested to ensure components work together.
184
Intellectual Property (IP) Risk
Legal risk involving patents, copyrights, trademarks, or trade secrets. Important for competitive protection.
185
Internal Product Onboarding
Guiding internal teams (e.g. support, sales) through new product features for enablement before external launch.
186
Invisible Work
Tasks done by teams that are valuable but not always tracked (e.g. mentoring, fixing tech debt). Should be acknowledged.
187
In-App Messaging
Real-time communication with users inside the product. Used for tips, onboarding, announcements.
188
Innovation Velocity
The speed at which new, validated ideas are delivered to users. Reflects a product’s ability to evolve.
189
Institutional Knowledge
Critical know-how built over time within a company. Often lost with turnover; best captured in documentation.
190
Interface Inventory
A visual audit of all UI elements to find inconsistencies and inform design system improvements.
191
Interval Testing
Running tests at set intervals (e.g. nightly builds) to check product performance or stability over time.
192
Inverted Funnel
A reverse funnel view focusing on retention and expansion vs. top-of-funnel acquisition.
193
Issue Triage
Prioritizing bugs and issues based on severity, impact, and urgency. Helps manage limited dev resources.
194
JTBD Canvas
A visual tool to map the Jobs-To-Be-Done framework. Includes job steps, context, outcomes, and pain points.
195
Key Result Area (KRA)
High-level responsibility areas tied to strategic goals. Example: 'User Engagement' for a PM.
196
Knowledge Transfer
The process of sharing knowledge from one person or team to another, often during onboarding or project handoffs.
197
Landing Page Optimization
Improving a webpage to increase conversions by enhancing content, layout, and CTAs. Metric: Conversion Rate ↑.
198
Latency Monitoring
Tracking delays in data or system responses to identify performance issues. Metric: Average Response Time.
199
Launch Checklist
A predefined list of tasks to ensure smooth product release (QA, docs, marketing, support readiness, etc.).
200
Lifecycle Revenue
Total revenue generated from a customer over their lifetime. Closely tied to CLV.
201
Live User Testing
Testing your product with real users in a live environment to identify usability or performance issues.
202
Load Testing
Simulating high traffic to evaluate system behavior under stress. Metric: Requests/sec, Error Rate.
203
Log Management
Collecting and analyzing system logs to monitor performance, errors, and security.
204
Long Tail Strategy
Targeting a large number of niche markets instead of a few mainstream ones. Useful for digital goods.
205
Loss Aversion Bias
User tendency to prefer avoiding losses over acquiring gains. Influences UX and pricing.
206
Low-Fidelity Wireframe
Simple, non-detailed sketches or mockups used for early-stage layout planning.
207
Market Intelligence
Gathering external data on industry trends, competition, and customer preferences to inform strategy.
208
Market Penetration Strategy
Approach to increase product usage among existing customers or capture competitor market share.
209
Marketing Mix Modeling
Statistical analysis to measure how marketing channels (4Ps: Product, Price, Place, Promotion) impact sales.
210
Matching Engine
Software used in financial services to match buy and sell orders. Critical in trading platforms.
211
Message-Market Fit
Alignment between product messaging and what resonates with the target audience. Precursor to Product-Market Fit.
212
Micro Conversions
Small user actions that lead to a bigger goal. Example: Email signup → Free trial → Paid plan.
213
Micro Frontends
An architectural style where the frontend is split into semi-independent parts owned by separate teams.
214
Milestone-Based Planning
Project roadmap structured around major deliverables and dates to track progress.
215
Mindshare
The level of awareness or popularity a product holds in users’ minds relative to competitors.
216
Mission-Critical Feature
A function essential for product value or operation. Downtime severely affects users or business.
217
Modular Architecture
Product design broken into independent modules that can be developed and updated separately.
218
Monetization Strategy
Plan to generate revenue from a product. Types: Subscriptions, ads, freemium, pay-per-use.
219
Multi-Channel Support
Ability to interact with customers across various platforms (email, chat, phone, social) consistently.
220
Multi-Tenant Architecture
A single instance of software serves multiple customers (tenants) with isolation and shared infrastructure.
221
Natural Language Processing (NLP)
AI branch focused on enabling machines to understand and process human language (e.g. chatbots, search).
222
Net Revenue Retention (NRR)
Revenue retained from existing customers including expansions and churn. NRR > 100% = healthy growth.
223
Network Effects
A product becomes more valuable as more users join. Example: Social networks, marketplaces.
224
New Feature Adoption Rate
Percentage of users who use a new feature post-launch. Measures feature success.
225
No-Code Tools
Software platforms that allow building apps, automations, or websites without coding (e.g., Webflow, Zapier).
226
Non-Functional Requirements (NFRs)
System attributes such as performance, scalability, security, and usability. Complement functional requirements.
227
North Star Metric
The single most important metric that best captures product value. Example: DAU for Facebook.
228
Notification Strategy
Planned use of in-app, email, or push messages to drive engagement without spamming users.
229
Objective Tree
A structured breakdown of company goals into smaller objectives and actionable tasks.
230
Omni-Channel Experience
Unified customer experience across all digital and physical touchpoints.
231
One-Pager
A concise, single-page document summarizing product purpose, features, market, and value prop.
232
Onboarding Completion Rate
Percentage of users who complete the onboarding flow. Indicates usability and retention potential.
233
Outage Communication Protocol
Defined plan for notifying stakeholders and users during downtimes. Includes status page updates, emails.
234
Outcome Mapping
Visual framework that links activities to desired outcomes and user or business impact.
235
Overhead Cost Allocation
Distributing indirect costs (e.g. admin, rent) across product teams or projects for budgeting.
236
Parent-Child Feature Hierarchy
Structure where large features (parent) contain sub-features (children) for better planning and tracking.
237
Path-to-Purchase
The steps a user takes from awareness to buying. Example: Ad Click → Product Page → Checkout.
238
Payment Gateway Integration
Connecting your product to a third-party service to process online payments (e.g., Stripe, Razorpay).
239
Persona Validation
Ensuring created personas are accurate through interviews, surveys, or analytics.
240
Pilot Program
A limited rollout of a product or feature to test performance before full-scale launch.
241
Platform Thinking
Designing your product as a platform that enables other parties (users, devs, partners) to build value.
242
Point of Conversion
The moment a user completes a desired action (e.g., sign-up, purchase). Metric: Conversion Rate.
243
Post-Launch Evaluation
Review of product success after release using KPIs, feedback, and adoption data.
244
Post-Mortem Report
Document analyzing what went wrong in a project or incident and how to prevent recurrence.
245
Pre-Mortem Planning
Exercise where teams anticipate reasons for future failure and plan mitigations before launch.
246
Pre-Sales Support
Technical or consultative assistance provided to prospects before they buy. Helps clarify product fit and capabilities.
247
Primary Research
Data gathered directly from users via interviews, surveys, or observations. Used for firsthand insights.
248
Prioritization Framework
Structured method to rank features or tasks. Examples: RICE, MoSCoW, Value vs. Effort.
249
Problem-Solution Fit
Validation that the product solves a real user problem. Precursor to product-market fit.
250
Product Analytics Stack
Set of tools for tracking and analyzing user behavior. Example: Segment → Mixpanel → Tableau.
251
Product Council
A cross-functional group that meets regularly to review product direction, roadmap, and trade-offs.
252
Product Experience (PX)
Overall perception users have while using the product. Combines UX, reliability, and value.
253
Product Hygiene Metrics
Basic metrics indicating whether the product is healthy (e.g., uptime, error rate, page load time).
254
Product Ideation Workshop
Collaborative session to generate, discuss, and evaluate product ideas using structured methods.
255
Product Intelligence
Combining user behavior data with business data to inform product decisions.
256
Product-Led Growth (PLG)
Growth strategy where the product itself drives acquisition, retention, and expansion (e.g., freemium → upgrade).
257
Profitability Index
Metric that shows return per unit of investment. Formula: NPV ÷ Initial Investment. >1 = viable.
258
Progressive Delivery
Rolling out features gradually to different users or environments to reduce risk.
259
Progressive Disclosure
UX principle where only necessary info is shown first; more details are revealed upon interaction.
260
Project Escalation Protocol
Defined process to raise and address risks, blockers, or delays to higher-level stakeholders.
261
Promoter Score Trend
Changes in NPS over time. Indicates shifts in customer satisfaction or sentiment.
262
Proof of Concept (POC)
A small project or demo to validate technical feasibility or solve a specific problem before full build.
263
Prospect Conversion Rate
Percentage of leads who become customers. Formula: (Converted ÷ Total Leads) × 100.
264
Provisional Persona
Early draft of a user persona based on assumptions or partial data, refined through validation.
265
Qualitative Research
Exploratory research focused on understanding user motivations and behaviors (e.g., interviews).
266
Quarter-over-Quarter Growth
Metric comparing performance from one quarter to the next. Measures momentum. Formula: (Q2 − Q1) ÷ Q1.
267
Quick Win
A small, low-effort change with immediate positive impact. Useful for building momentum.
268
R&D Roadmap
Strategic plan for research and development initiatives aligned with product innovation.
269
Ramp-Up Time
Time it takes for a new team member to become fully productive. Affects hiring and delivery plans.
270
Reactive Support
Customer support model that responds after a problem occurs. Opposite of proactive support.
271
Real-Time Data Flow
Instant processing and transmission of data as it’s generated. Enables live dashboards, fraud detection.
272
Reactivation Campaign
Marketing strategy to re-engage inactive users via emails, push, or special offers.
273
Rebrand Strategy
Plan to change product name, identity, or messaging to reach a new market or align with vision.
274
Recurring Revenue Model
Business model with predictable, repeatable income streams (e.g., subscriptions, memberships).
275
Referral Program Strategy
Incentivized program to encourage users to refer others. Metrics: Referral Rate, Referral Conversion.
276
Regulatory Compliance Audit
Formal review to ensure product meets legal and regulatory standards (e.g., GDPR, SOC2).
277
Release Readiness Checklist
Pre-launch validation list covering QA, legal, marketing, support, and deployment readiness.
278
Regression Testing
Testing previously working features after a change to ensure nothing broke. Often automated.
279
Release Burndown
Chart tracking how much work remains in a release over time. Used to assess delivery risk.
280
Remote Usability Testing
Observing users interact with your product from a remote location. Tools: Maze, Lookback.
281
Requirements Traceability Matrix (RTM)
A document mapping requirements to test cases to ensure full coverage.
282
Revenue Forecasting
Predicting future revenue based on historical data, sales pipeline, and market trends.
283
Risk Mitigation Plan
Steps to reduce the impact or likelihood of risks affecting a project or product.
284
Rollback Plan
Contingency plan to revert a product release if issues occur post-deployment.
285
Root Cause Analysis (RCA)
A systematic process to identify the fundamental cause of a problem. Example: 5 Whys.
286
Runway Calculation
How long the company can operate before running out of cash. Formula: Cash ÷ Monthly Burn Rate.
287
Scope Creep
Uncontrolled expansion of product scope without adjusting time, cost, or resources.
288
Scoring Model
A structured method to evaluate and prioritize items using weighted criteria (e.g., RICE, ICE).
289
SDK Integration
Adding a Software Development Kit into your product to enable third-party services or functionality.
290
Secondary Research
Using existing data sources like reports, studies, or analytics to inform product decisions.
291
Self-Serve Analytics
Analytics tools that allow non-technical users to explore data without engineering help.
292
Service Blueprinting
A diagram mapping all interactions, systems, and internal steps behind the user experience.
293
Service Level Agreement (SLA)
A formal commitment defining the level of service (e.g., uptime, response time) agreed between provider and customer.
294
Session Replay
Tool that records and replays user sessions to analyze behavior and troubleshoot issues.
295
Shadowing Sessions
Watching users or support agents perform real tasks to understand workflows and identify friction.
296
Shipping Velocity
Speed at which new features or changes are deployed. Metric: Releases per week or sprint.
297
Sign-Up Conversion Rate
The percentage of users who sign up after visiting the landing page. Formula: (Sign-ups ÷ Visitors) × 100.
298
Social Proof
Psychological phenomenon where people rely on actions of others (reviews, testimonials) to guide decisions.
299
Soft Launch
A limited release of a product to test performance and gather feedback before a full launch.
300
Source of Truth
A single authoritative data source that ensures consistency across teams and systems.
301
Speed to Value
The time it takes for a user to derive meaningful value after starting to use a product.
302
Spending Per User
Average amount a user spends on your product. Useful for monetization analysis.
303
Spike Story
An Agile task aimed at researching or exploring an approach before full implementation.
304
Stakeholder Alignment Framework
Structured approach to ensure all stakeholders are aligned on goals, decisions, and priorities.
305
Stakeholder Buy-in
Gaining agreement and support from key stakeholders to move forward with product decisions.
306
Stakeholder Interviews
One-on-one sessions with stakeholders to gather input, understand needs, and align expectations.
307
Stakeholder Matrix
A grid that maps stakeholders based on influence and interest to manage engagement.
308
Strategic Narrative
A compelling story that ties the product vision to company mission, user needs, and market trends.
309
Success Metrics
Quantitative indicators used to measure product performance (e.g., NPS, activation rate, retention).
310
Support Ticket Volume
The total number of support requests received in a given time. Indicates product usability or issues.
311
System Downtime Tracking
Monitoring system availability to measure uptime. Metric: % Uptime per period (e.g., 99.95%).
312
System of Engagement
Tools and platforms that facilitate direct interaction with users (e.g., CRM, chat, marketing tools).
313
System of Record
The authoritative data source for a business process (e.g., HRIS for employee data).
314
System Scalability
A system’s ability to handle growth in users, data, or transactions without performance loss.
315
System Usability Scale (SUS)
A standardized 10-question survey used to evaluate product usability. Scores range from 0–100.
316
Tactical Roadmap
Short-term, execution-focused roadmap that details how strategic goals will be implemented.
317
Task Success Rate
Percentage of users who successfully complete a task. Indicator of usability. Formula: Successful Users ÷ Total Users.
318
Team Velocity
The amount of work a team completes in a sprint. Measured in story points or tasks.
319
Technical Architecture Review
An assessment of the system’s design to ensure scalability, maintainability, and compliance.
320
Technical Discovery
Initial exploration phase to understand technical feasibility and dependencies before building.
321
Technical Specification Document
A document that outlines detailed technical requirements, workflows, APIs, and architecture.
322
Technical Spikes
Time-boxed research activities in Agile used to explore technical options or estimate effort.
323
Test Case Repository
A centralized system to store, manage, and track test cases for product features.
324
Test Coverage Ratio
Percentage of code covered by tests. Formula: (Tested Code ÷ Total Code) × 100. Target: 70–90%.
325
Third-Party Integration Strategy
Plan for connecting external services (e.g., Stripe, Zendesk) to add functionality or data.
326
Time-to-Deploy
Time from development complete to production release. Shorter = faster iterations.
327
Time-to-Resolution (TTR)
Average time taken to resolve a customer issue. Important support KPI.
328
Time-to-Value (TTV)
Time it takes a user to realize value from a product after adoption. Shorter TTV = higher satisfaction.
329
Timeboxing
Allocating a fixed time period to a task to improve focus and avoid over-engineering.
330
Toggle Management
The practice of managing feature toggles (flags) to enable dynamic control over feature availability.
331
Touchpoint Analysis
Evaluating all user interactions with the product or brand to optimize the experience.
332
Trade-off Analysis
Weighing pros and cons of competing product decisions. Helps in choosing between features or investments.
333
Transaction Monitoring
Tracking user or payment transactions for fraud, failures, or performance metrics.
334
Transactional Emails
Automated emails triggered by user actions (e.g., sign-up confirmation, password reset). High open rate.
335
Trend Analysis
Identifying patterns or changes in data over time to forecast or detect anomalies.
336
Trial Conversion Rate
Percentage of users who convert from free trial to paying customers. Metric = Conversions ÷ Trial Users.
337
Turnkey Solution
A fully built, ready-to-use solution that requires minimal setup from the user.
338
UI Consistency Review
Audit of interface elements to ensure visual and interaction consistency across the product.
339
Unit Economics
Revenue and costs per customer or unit. Helps determine product profitability. Example: CLV vs CAC.
340
Unit Testing
Testing individual units or components of code to ensure correctness. First line of defense in QA.
341
Upsell Opportunity
Chance to offer users a higher-tier product or add-ons. Tied to expansion revenue.
342
Usability Benchmarking
Comparing a product’s UX metrics to industry standards or competitors to assess effectiveness.
343
Usability Heuristics
A set of UX best practices (e.g., Nielsen’s 10 principles) used for expert product reviews.
344
Usability Scorecard
Tool that evaluates product UX using scored criteria like navigation, feedback, clarity.
345
Usage-Based Pricing Model
Pricing based on how much the product is used. Common in SaaS/API services (e.g., $ per API call).
346
User Activation Rate
The % of users who complete key onboarding actions. Measures engagement readiness. Example: Signup → First Action.
347
User Authentication Flow
The sequence a user follows to verify their identity (e.g., login, 2FA). Ensures security and access control.
348
User Behavior Flow
A visual map of how users navigate through the product. Used to identify drop-offs or friction.
349
User Churn Prediction
Using data models to forecast which users are likely to stop using the product. Helps with proactive retention.
350
User Engagement Depth
A measure of how extensively a user interacts with the product's features over time.
351
User Feedback Loop
The cycle of collecting, analyzing, and acting on user feedback to improve the product.
352
User Journey Analytics
Analysis of user behavior across multiple touchpoints to understand experiences and optimize flows.
353
User Lifecycle Metrics
Key metrics across stages of user lifecycle: acquisition, activation, retention, referral, revenue.
354
User Onboarding Journey
The guided steps new users take from signup to initial value realization. Affects activation and retention.
355
User Permission Schema
Defines access control rules by user roles (e.g., Admin > Editor > Viewer). Critical for security.
356
User Retention Curve
A chart showing how user retention changes over time after sign-up. Flat curve = healthy retention.
357
User Satisfaction Index (USI)
A composite score reflecting user happiness based on surveys, NPS, and behavior.
358
User Session Duration
Average time a user spends in the product during one visit. Indicates engagement.
359
User Story Mapping
A visual framework to organize and prioritize user stories based on workflows and goals.
360
User Task Analysis
Research technique analyzing how users complete key tasks. Identifies friction and usability issues.
361
Utilization Rate
The percentage of available resources (e.g., dev time, API usage) being effectively used.
362
Validation Testing
Ensuring the product meets user needs and expectations. Usually post-development.
363
Value-Based Pricing
Pricing set based on perceived value to the customer rather than cost. Requires market research.
364
Value Proposition Canvas
Visual tool aligning user jobs, pains, and gains with product features. Helps refine messaging.
365
Vanity Metrics
Metrics that look good but don't correlate with real business success (e.g., app installs without usage).
366
Version Control Strategy
Plan for managing code versions and releases (e.g., Git branching model). Ensures stability and traceability.
367
Voice of Customer (VoC)
Collective feedback from customers via surveys, interviews, and reviews. Drives product decisions.
368
Waitlist Management
Controlling access to a product through invite systems or staged rollouts. Used to manage demand.
369
Weighted Scoring Model
Prioritization framework assigning weights to criteria (e.g., impact, effort) for objective decision-making.
370
Whitespace Analysis
Identifying unmet needs or gaps in the market that your product can address.
371
Win-Loss Analysis
Studying why deals are won or lost to improve sales process and product positioning.
372
Wireframe Testing
Usability testing of low/mid-fidelity mockups to validate layout and navigation before development.
373
Workflow Automation
Automating repeatable processes to improve efficiency (e.g., user onboarding emails, status updates).
374
Zombie Feature
A feature that is live but rarely used. Signals opportunity to kill, improve, or replace.
375
Time-to-First-Value (TTFV)
Time it takes for a user to achieve their first meaningful outcome. Shorter TTFV = higher retention.
376
Release Train
A structured cadence of product releases. Ensures regular updates regardless of feature readiness.
377
Data Lakehouse
Architecture combining data warehouse structure with data lake scalability. Enables real-time analytics.
378
Churn Modeling
Predictive analysis to estimate likelihood of users canceling or leaving a product.
379
Responsive Design
Design approach that ensures optimal user experience across devices and screen sizes.
380
Voice User Interface (VUI)
Interface that allows users to interact using voice commands (e.g., Alexa, Google Assistant).
381
Conversion Attribution
Identifying which channels or actions led to a user converting. Used in marketing ROI analysis.
382
Product Usage Analytics
Tracking and analyzing how users interact with the product to guide improvements.
383
Product Taxonomy
Structured classification of product categories and attributes. Improves navigation and search.
384
Intent-Based Segmentation
Grouping users by behavioral signals indicating their goal or intent (e.g., buyer vs. researcher).
385
Dark Launch
Releasing a feature in the backend without UI exposure. Used for testing performance or errors.
386
Pricing Elasticity Testing
Experimenting with price points to see how changes affect demand. Helps optimize pricing.
387
Competitive Benchmarking Dashboard
Visual comparison of your product's key metrics against competitors. Tracks market positioning.
388
Digital Experience Score
Composite metric measuring digital UX quality, often combining speed, usability, and satisfaction.
389
Customer Sentiment Analysis
Analyzing text (reviews, chats) to gauge customer emotions and attitudes using NLP.
390
Experiment Velocity
Rate at which product experiments are launched and validated. High velocity = faster learning.
391
Elastic Scalability
System’s ability to automatically scale resources up/down based on demand. Important for performance.
392
Rapid Experimentation
Running quick, small-scale tests to validate ideas before full investment. Encourages learning.
393
Feature Maturity Model
Stages describing a feature’s lifecycle from ideation → MVP → mature → deprecated.
394
Market Expansion Playbook
Step-by-step strategy for entering and growing in new markets or regions.
395
KPI Tree
A visual hierarchy linking high-level goals (e.g., revenue) to supporting metrics (e.g., conversions, traffic). Helps align KPIs across teams.
396
AI-Powered Personalization
Using machine learning to tailor product experiences based on user behavior, preferences, and context (e.g., Netflix recommendations).
397
Multivariate Testing
A/B testing variation involving multiple variables simultaneously to determine best combination of elements (e.g., headline + CTA + image).
398
Customer Journey Orchestration
Real-time coordination of personalized interactions across touchpoints based on customer behavior and stage.
399
Customer Friction Audit
Systematic review to identify areas of user frustration or drop-off across the product journey.
400
Time-to-Decision
The average time a user takes to move from awareness to conversion. Shorter time = better UX and clarity.
401
SaaS Metrics Dashboard
A real-time dashboard displaying key SaaS indicators like MRR, churn, CAC, LTV, ARPU.
402
Continuous Validation
Ongoing testing of assumptions, designs, and features throughout the product lifecycle to reduce risk.
403
Customer Expectation Gap
The difference between what customers expect and what they experience. Reducing this improves satisfaction.
404
Decibel Score
A digital experience metric combining frustration signals (e.g., rage clicks, dead clicks) to measure UX quality.
405
Proactive Support System
Customer service that anticipates problems and offers help before users ask (e.g., prompts when errors occur).
406
Preboarding Strategy
Preparing users for onboarding before account creation through landing page CTAs, explainer videos, etc.
407
Interaction Cost
The time and effort required by users to complete a task. Lower interaction cost improves usability.
408
Design Tokens
Variables (e.g., color, spacing, typography) used in design systems to ensure consistency and scalability.
409
Daily Active Organizations (DAO)
B2B metric counting unique organizations that interacted with the product daily. Indicates engagement at an account level.
410
Pre-Churn Indicators
Behavioral signs that a user is likely to churn (e.g., usage drop, no logins). Used for retention actions.
411
Digital Identity Verification
Authenticating user identity online using methods like biometric scans or document uploads.
412
Contextual Onboarding
Onboarding tailored to user type, behavior, or segment, delivering relevant steps or tooltips.
413
Multi-Armed Bandit Testing
AI-based testing that dynamically allocates traffic to better-performing variants in real-time.
414
Error Budgeting
A reliability engineering practice balancing innovation and stability. Product can ship until budgeted error threshold is met.
415
Augmented Analytics
Use of AI to assist in data preparation, insight generation, and dashboard creation.
416
Value Hypothesis
Assumption that a specific product feature or offer will create meaningful value for the user.
417
Technical Discovery Sprint
Time-boxed sprint to explore technical feasibility, options, or challenges before building a solution.
418
Checkout Optimization
Improving the checkout flow to reduce friction and boost conversion. Focus areas: forms, speed, trust.
419
Modular Monetization
Offering pricing based on standalone or mix-and-match product modules. Supports upsell/flexibility.
420
Elastic User Access Control
Scalable permission management allowing real-time role or policy adjustments based on behavior.
421
Waitlist Conversion Rate
The percentage of users who joined a waitlist and later converted to active users. Indicator of demand.
422
Predictive Retention Modeling
Using historical data and ML to forecast which users are likely to stay. Helps inform growth investments.
423
Integrated Support Framework
A system that unifies live chat, knowledge base, ticketing, and feedback to streamline support.
424
Platform Resilience
The platform’s ability to maintain performance and recover quickly from disruptions.
425
Customer Escalation Matrix
A structured plan defining how and when customer issues are escalated internally for resolution.
426
Error Monitoring Tooling
Automated tools (e.g., Sentry, Datadog) that alert teams about application failures in real-time.
427
Behavioral Triggering
Automated actions based on user behavior (e.g., inactivity triggers email nudge).
428
Release Risk Matrix
A framework mapping release risks by likelihood and impact. Used for planning mitigations.
429
Support Escalation SLA
Agreed response and resolution times based on issue severity in a support agreement.
430
Proactive Communication Plan
A predefined strategy for informing users about outages, changes, or delays before impact.
431
Market Share Forecasting
Estimating future market share growth based on competitive and customer data.
432
Authentication Flow Drop-off
Users abandoning the product during login/verification. Indicates friction or confusion.
433
Product Sustainability Score
A metric evaluating the product’s environmental and ethical impact (e.g., carbon usage, data practices).
434
Onboarding Drop-off Rate
Percentage of users who exit before completing onboarding. High rate signals poor UX or misaligned value.
435
Journey Completion Rate
The % of users who complete an intended multi-step flow (e.g., signup → onboarding → purchase).
436
Accessibility Scorecard
Assessment of how accessible a product is to users with disabilities. Includes WCAG compliance.
437
Idle User Re-engagement Strategy
Tactics to bring back inactive users (e.g., reminder emails, new feature nudges, offers).
438
Self-Serve User Conversion
Rate at which users convert without human assistance. Indicator of product clarity and onboarding quality.
439
Release Communication Strategy
Planned messaging for stakeholders and users when a new release goes live. Channels: email, changelog, banners.
440
Discovery Backlog
A prioritized list of problems or ideas to explore before they become part of the delivery backlog.
441
Data-Driven Personas
User personas created using actual behavior data rather than assumptions. More accurate for targeting.
442
Synthetic Monitoring
Simulates user interactions using scripts to monitor uptime and performance. Useful for detecting issues before users do.
443
Usage Forecasting Model
Predicts future product usage using historical data and trends. Helps with scaling and resource planning.
444
Backlog Aging Report
Tracks how long items stay in the backlog. Aged items may signal prioritization or scope issues.
445
Stakeholder Visibility Matrix
A visual map of which stakeholders need visibility into different product areas or decisions.
446
Feature Rollout Plan
A structured approach to gradually release new features (e.g., by geography, user segment, percentage).
447
Go-Live Playbook
Checklist and procedures for launching a product or feature live, including QA, communication, and rollback.
448
Support Ticket Deflection Rate
The percentage of user issues resolved via self-service resources (e.g., help center). Formula: Deflected ÷ Total Inquiries.
449
Activation Funnel
Step-by-step conversion of new users into activated users. Example: Signup → Profile Setup → First Action.
450
API Governance
Processes and standards to manage APIs for security, consistency, and version control.
451
Application Telemetry
Real-time data collection from apps about usage, performance, and errors. Used for observability.
452
Backlog Health
A measure of whether the backlog is prioritized, refined, and actionable. Indicators: stale stories, unclear scope.
453
Behavioral Analytics
Analyzing user behavior (clicks, scrolls, sessions) to understand engagement and drop-offs.
454
Brand Recall Testing
Assessing how easily users remember your brand. Used to measure marketing and UX impact.
455
Bundled Feature Strategy
Combining multiple features into a single package or plan to increase perceived value.
456
Business Case Validation
Verifying that a proposed feature or product idea is viable and aligns with business goals.
457
Capacity Planning
Forecasting future infrastructure or team needs based on expected usage or project load.
458
Channel Conflict Resolution
Managing tensions between multiple sales or distribution channels targeting the same customers.
459
Clickstream Data Analysis
Reviewing sequences of user clicks to understand navigation paths and optimize flows.
460
Cognitive Walkthrough
Usability evaluation method where reviewers step through tasks to identify user confusion.
461
Communication Hierarchy
The structure and prioritization of messages in a product or campaign to guide user attention.
462
Content Delivery Optimization
Improving the speed and reliability of delivering media or content using CDNs or compression.
463
Context Switching Overhead
Loss in productivity due to frequent task or tool switching. Can impact developer efficiency.
464
Contract Renewal Risk Score
Predicted likelihood that a customer won’t renew. Based on usage, support tickets, satisfaction.
465
Core User Cohort
Group of highly engaged users who represent your ideal audience. Tracked for retention and feedback.
466
Customer Feedback Taxonomy
A structured classification of feedback types (e.g., bugs, feature requests, confusion) for analysis.
467
Customer Knowledge Graph
A networked database of customer entities, behaviors, and relationships. Powers personalization and segmentation.
468
Customer Segmentation Tree
Hierarchical model breaking users into segments and subsegments by attributes or behaviors.
469
Decision Fatigue Reduction
Design strategy to limit user choices or simplify decisions to reduce cognitive load.
470
Delayed Feedback Loop
A gap between user action and feedback that can reduce learning or satisfaction.
471
Dependency Mapping
Diagram of how product features, teams, or systems rely on one another. Aids in risk planning.
472
Digital Twin Testing
Creating a virtual replica of a system or user journey to test changes without impacting the live product.
473
Engagement Cohort Modeling
Tracking groups of users based on join date to analyze retention and engagement trends.
474
Event Tracking Schema
Standardized format for defining and organizing tracked user events across a product.
475
Experiment Debrief Template
Structured format for summarizing outcomes of product experiments: Hypothesis → Results → Next Steps.
476
Experiment Fatigue
Reduced user response due to exposure to too many tests. May skew experiment results.
477
Experiment Goal Definition
Clear articulation of what success looks like for a test. Includes metrics and hypotheses.
478
Experiment Lifecycle Management
Coordinated approach to planning, running, and retiring product experiments.
479
Feature Bloat Identification
Audit process to find underused or redundant features that clutter the product.
480
Feature Usage Retention
Metric showing how often users return to a feature after initial use. Indicates long-term value.
481
Geolocation Personalization
Customizing product content or experience based on user's geographic location (e.g., language, currency, nearby stores).
482
Growth Forecasting
Predicting future user, revenue, or market growth using historical data, product trends, and economic factors.
483
Health Score Segmentation
Grouping users based on their product health scores (e.g., usage, satisfaction, support issues) to target retention efforts.
484
High Churn Cohort Detection
Identifying user groups with above-average churn rates using behavioral and demographic patterns.
485
Human-Centered Roadmapping
Building product roadmaps by prioritizing real human needs, not just business goals or internal ideas.
486
Incentive Experiment Design
Structuring tests to evaluate how offers (e.g., discounts, rewards) impact user behavior and conversion.
487
Industry Benchmark Validation
Comparing your product or team’s performance against industry norms to gauge competitiveness.
488
Insight-to-Action Ratio
The proportion of insights from analytics that lead to product changes. Higher ratio = better execution.
489
Install-to-Signup Conversion
The percentage of users who sign up after installing the app. Formula: (Signups ÷ Installs) × 100.
490
Journey Drop-off Analytics
Analyzing where users abandon a multi-step journey (e.g., checkout flow) to improve retention.
491
KPI-to-Metric Mapping
Breaking down high-level KPIs into trackable, lower-level metrics (e.g., 'Engagement' → DAU, session length).
492
Latency Degradation Triggers
Thresholds set to alert teams when app response times degrade beyond acceptable levels.
493
Lifecycle Touchpoint Map
A visual of key interactions users have with the product across their journey (e.g., onboarding, renewal).
494
Localized Feature Rollout
Releasing features in specific regions first to test cultural or market fit before global deployment.
495
Low Engagement Warning System
Automated detection of users at risk of churn due to inactivity. Triggers re-engagement flows.
496
Marketing Attribution Model
Framework for assigning credit to marketing touchpoints that contribute to conversions (e.g., first-click, linear).
497
NPS Correlation Analysis
Evaluating how Net Promoter Score relates to other metrics (e.g., retention, revenue) to validate its impact.
498
Outcome Heatmap
A visual representation of user outcomes across different segments or features to identify success hotspots.
499
Outlier Session Detection
Spotting abnormal user sessions (e.g., very short, error-prone) to find bugs, abuse, or edge cases.
