Revel Int Flashcards
What is Revel?
Revel pairs human-centered design with Infogain engineering. They enable customers to build connections and move forward thoughtfully with rapid cycles of flair and focus.
Revel is the experience transformation division of Infogain.
How do Revel and Infogain work together?
Infogain (parent company) provides engineering that makes Revel’s envisions possible.
Together, they navigate the unpredictable to understand what and how to build for the future.
Together, they create digital products that deepen connection with customers.
What services does Revel offer and what is an example or two for each service?
1) Digital Innovation = future business models
- Ex) Innovation pods (Min lovable products); Assessment and IP
2) Experience Design = creating experiences that turn customers to advocates
- ex) User Experience (UX) and Customer Experience (CX)
3) Transformation = align operations infrastructure to drive adoption and customer journeys
- ex) Employee Experience; Platform Experience
4) Digital Experience Platforms = create and integrate platforms that unlock new insights into customer journey
- ex) Experience Platforms (sitecore); Marketing Automation (salesforce/adobe)
Case Study: Technology
-Situation: Bad search capabilities within an internal marketing repository built on Azure.
-Action: Infogain’s ASK NAVIK (gen AI based chatbot that uses Large Language Models LLMS) was implemented allowing for a personalized search experience.
-Result: Automated process make for easier and faster decisions + improved user experience
Case Study: Food and Beverage
- Situation: Food/Beverage manufacturer/distributer had inefficient search capabilities in their knowledge repository
- Action: Implemented ASK NAVIA (AI-search engine) to build a better user experience, including access to a library, glossary, dashboard, and mobile app.
- Results: Enhanced productivity, holistic view of firm wide knowledge, and improved turnaround time to make informed decisions using relevant searches.
Relationship with Microsoft
Microsoft Gold Partner with established Design and Build Centers all over the world so brands can use Microsoft technologies to speed up their digital transformation.
Every day, we enable customers to build value with Microsoft solutions by:
- Deploying Microsoft technologies
- Envisioning and planning new cloud capabilities
- Accessing engineering expertise throughout deployment and migration
- Driving adoption after implementation
Infogain’s Core Values
Grow Together
- We empower and activate people and businesses to reach their full potential
Create Client Value
- We exceed client expectations. Always.
Innovate
- We don’t wait for change. We create it.
Deliver Excellence
- We’re accountable to ourselves and to every client and colleague. No excuses ever.
Responsibility: Lead the development and implementation of comprehensive change management strategies to
support AI integration initiatives within the organization, including communications and training
programs
User Azure Open AI and Microsoft Co-Pilot Case Study.
S: Demand for skilling on Open AI and Co-Pilot at an all time high; need to stand up partner and customer facing offers through the ESI program
T: I was responsible for developing and leading the change strategy for all internal teams - had to work across a large cross functional v team
A: Stood up a v team with representation across the business; developed a change strategy that focused on identifying impacts, managing resistance, and focused on training and asset delivery.
R: Thanks to strong coordination across various workstream, the CM team was able to execute on a multi-week readiness plan that prepared the field to make connection with their customer and partner POCs and provided critical assets
- In just six weeks, the team was able to offer their customers and partners two new AI offerings around M365 Co-Pilot and Azure OpenAI
Collaborate with cross-functional teams to assess AI readiness, identify potential challenges, and develop actionable plans for change
Non AI Change Management Case Study - Operating Model.
S: A member of the WWL PMO team, we were tasked with rolling out a new operating model, which included a project management methodology, tooling changes, and cross functional teams.
T: My role was to develop and manage the change strategy for the entire rollout.
A: Worked across a large cross functional team to build a change strategy that broke up each component of the project into an individual piece. Starting with the project management system and tooling changes. Using change best practices we built an IA and ultimately robust change plan.
R: Trained 400+ individuals on the new model and got them up to speed with the tooling. I also created a self-service training portal for scalability and reinforcement plan.
Create process documentation of ‘as is’ and ‘to-be’ processes to properly understand the critical adjustments in ways of working to ensure communications and training to
Use example of process documentation that you have created. Use PEARL ADO Tooling Example.
S: As part of the operating model rollout, we had to update our instance of Azure DevOps to be able to accurately reflect the project management model we were implementing.
T: My role was a hybrid of a project manager and change manager to support my FTE PMO client and technical SMEs with implementation and release of new tooling.
A: Created process and training assets and assisted with training across entire organization. Created self serve videos to support training at scale and created other easy to use resources (all part of self service trainining)
R: We were able to roll out the new tooling to a 400+ organization and provided leadership specific support and reporting views to answer specific LT questions.
Provide expert guidance and support to senior leadership, gaining buy-in and alignment for AI adoption strategies.
2 examples:
1) Scaling CM practices across the WWL org. I work closely with main overall client to take what we’ve been doing within the DAP team and scaling that across all of the WWL org. A large part of that is to provide my client with the information she needs to get buy-in from her manager and skip manager to take the time and resources to do this.
- Create high-level assets (why this needs to happen, what will happen if we don’t do it, how it aligns to vision)
- Building of decks to her LT presentations and co-presenting in the those talks
- Providing timely follow ups of progress.
2) Use AI Case study retrospective to Natalie example
Develop and execute communication plans to ensure stakeholders are informed and engaged throughout the AI integration process
Show the slide in the deck to help with this.
Lead training sessions and workshops to build awareness of new features and capabilities being delivered to the team, with the goal of driving adoption/activation within the organization.
Speak to 101 deck and how that was used to create a base level of understanding in the DAP org.
Monitor and evaluate the effectiveness of change management efforts related to AI integration, making data-driven recommendations for adjustments and improvements in the product
features or communication plans.
Data can be used in change management to help guide decisions and inform business actions. Data-driven change management can help organizations:
Identify areas for improvement
- By collecting qualitative and quantitative data, you can assess the current state of a situation and identify areas for improvement. You can use this information to determine a desired future state and measure the success of the change.
Measure impact
- Data can help you quantify the impact of changes to teams, departments, or the entire company. For example, you can use data to see if productivity increases or decreases, or to identify negative repercussions like burnout.
Make informed decisions
- Data can help you verify, understand, and quantify actions, which can lead to better informed decisions. For example, you can compare your business’s performance metrics to your growth goals to identify areas where you need to make changes.
Improve change performance
- You can use legacy data to improve change performance over time. For example, you can take surveys to see how motivated employees feel after receiving rewards or recognition, and then check again in a few weeks to see if the motivation wears off.
Act as a subject matter expert on AI adoption best practices, leveraging insights from previous AI integration projects.
Use AI Case Study example.
