Feature Design Flashcards
Design Collaboration Spectrum
- Constrained divergence
- Iterative convergence
- Gaining approval & alignment
Design Workshops
- Prepare by defining constraints
- Facilitate the design workshop
- Debrief by clustering solution ideas
- Assess clusters against constraints
- Prioritize individual solution ideas
Design workshop - prepare by defining restraints
- Act as guardrails for the creative process
- Focus brainstorming on practical, implementable solutions that align with business goals and user needs
3.
Types of constraints
- Desirability
- Feasibility
- Viability
Asking the right questions - format
“How might we (address the desirability constraint) for the user so that we (create the desired effect)?”
Potential workshop structures
- Crazy Eights
- Alternative Worlds
- Solution Pitch
Cluster Solutions
- Surface Area - clustering by what surface of your product is changing
- User Type - clustering ideas based on different users within the same product
- Funnel Stage - clustering ideas based on how they impact various points of the product’s funnel
Benefits of Prototype Testing
- Evolve designs informed by user preferences
- Collaborate with design
- Receive early signals around key risk areas
Prototype Testing: Key Components
- Audience - who is testing your prototype
- Fidelity - how detailed & functional your prototype is
- Moderation - how you guide the audience through the test
- Synthesis - how you translate results into takeaways
Prototype Testing Objectives
- Design Exploration - Testing multiple solution ideas & design choices with users to determine which is most desirable
- Design Validation - Testing, optimizing, & de-risking a given solution idea and set of design choices
Prototype
A representation of a feature design in some physical form. This can be anything from a sketch on a piece of paper to a fully interactive user interface.
Testing Objective
A test objective captures what you want to learn from the prototype test
How to choose the right prototype objective
- Desirability - which ideas are more or less desirable
- User preference - which design choices do users prefer? These preferences are likely to be around UI, UX, and user flows in general
- Demographics - do users with different demographic, firmographic, and product behaviors differ in what they find desirable?
Leveraging existing sources of user insight
- User logs - these provide insight into how users are solving the problem today if they have found a workaround within your product
- Heat maps and activity trackers - these help us understand how users interact with a specific screen, and where they spend more or less time. Heatmaps are often useful if we’re trying to make design choices about information architecture and layouts of our surfaces
- User feedback data and customer support tickets - these can provide useful insights into areas of friction that users have experienced in the past
- Spot surveys and polls with existing users - we can use these to understand users’ attitudes about solution ideas. Note though that surveys can only provide aggregated, directional data about what users prefer, but can’t reveal in-depth insights about how they feel