Leveraging Customer Data to Optimize Your Solution Roadmap
Once your GenAI solution is in the market, the fastest way to improve outcomes is to listen carefully—using both customer feedback and usage patterns to spot where value is being created (and where it’s breaking down). This workshop helps you build a practical approach to gathering the right customer data, identifying friction and drop-off points, and turning insights into a clear, prioritized roadmap of improvements.
If you can’t connect customer signals to roadmap choices, optimization turns into opinion and guesswork.
Optimizing a live GenAI solution often stalls because customer insights aren’t captured or used in a consistent way.
- Messy feedback, unclear priorities: When input comes from many places, teams struggle to separate noise from the few issues that truly matter.
- Friction is felt, not measured: Drop-off points and “workarounds” show up in customer behavior, but aren’t identified early enough to act.
- Insights don’t become requirements: Even when teams learn something important, it doesn’t translate cleanly into what to change and why.
The result is a roadmap driven by anecdotes—while the same customer pain points keep repeating.
We guide your team through a structured, customer-driven approach to refine your roadmap with confidence.
- Customer Data Collection Plan: Define what qualitative and quantitative inputs you’ll collect, from whom, and how often.
- Friction and Drop-Off Analysis: Identify where customers slow down, abandon, or avoid features—and what that means for priorities.
- Feedback-to-Requirements Translation: Convert insights into clear, actionable requirements that product and delivery teams can execute.
- Usage-to-Feature Linkage: Connect usage trends to specific features so you can target improvements with the highest leverage.
- Co-Design with Key Segments: Validate improvements with the customer segments that matter most before committing roadmap capacity.
- Collecting Qualitative and Quantitative Customer Data
- Analyzing Friction and Drop-Off Points
- Translating Customer Feedback into Requirements
- Linking Usage Trends to Product Features
- Co-Designing with Key Customer Segments
- Define the customer data you will collect (what, from whom, and how often) to guide roadmap decisions
- Identify the top friction and drop-off points impacting adoption, satisfaction, or renewal risk
- Produce a prioritized list of improvement opportunities tied to clear customer evidence
- Translate key insights into actionable requirements and acceptance criteria for the next roadmap cycle
- Leave with an updated roadmap view showing what will change, why it matters, and how success will be measured
Who Should Attend:
Solution Essentials
Virtual or in-person
4 Hours
Beginner to Intermediate
Standard collaboration tools (shared docs/whiteboard and slides)