Measure. Refine. Repeat.
This fast paced, interactive workshop helps you define the product insight measures and operating approach that make GenAI product performance visible, comparable, and actionable across teams. You’ll leave with a practical product insights plan to measure adoption, quality, satisfaction, and ROI—and use those insights to steer product decisions—so you can improve what matters and
scale what works.
The Challenge
It can be challenging to understand what’s really happening with GenAI product performance—and act on it fast enough:
- Adoption can look healthy while value isn’t: Usage grows, but teams can’t tell if users are succeeding, struggling, or simply experimenting.
- Quality signals are fragmented: Errors, latency, hallucinations, escalation rates, and satisfaction get tracked inconsistently—or not tied to business impact.
- Insights don’t make it back into the loop: Findings live in dashboards or decks, but don’t consistently drive iteration priorities or GTM messaging.
Product advantage comes from closing the loop between GenAI performance signals and product decisions.
Our Solution
A structured, hands-on workshop that helps you define a targeted GenAI product insights plan—so you can track the right signals, operationalize learning, and improve product outcomes predictably.
- Explore our GenAI Insights Best Practices catalog: Review proven patterns for product telemetry, quality signals, adoption funnels, and insight-to-iteration loops.
- Define your priority product insight measures: Select a small set of measures that reflect adoption, experience quality, reliability, and business value.
- Define your reporting frequency: Establish an operating cadence for product insight reviews across product, engineering, and GTM stakeholders.
- Assign an accountable owner: Clarify ownership for measurement definitions, instrumentation, reporting, interpretation, and follow-through.
- Define actionable next steps: Identify what to instrument, dashboard, automate, and embed into planning and iteration first.
Area of Focus
- Analyzing GenAI product performance and adoption
- Tracking usage, errors, satisfaction, and ROI
- Embedding insight into product iteration loops
- Reporting findings to product and GTM teams
- Planning predictive models for product success
Participants Will
- Leave with a defined set of GenAI product insight measures spanning adoption, quality, satisfaction, and ROI.
- Align on instrumentation priorities to capture meaningful product and user-behavior signals reliably.
- Define an operating cadence for insight review that drives iteration decisions and reduces reactive firefighting.
- Establish a cross-functional reporting approach so product and GTM teams tell one consistent performance story.
- Produce a next-step action plan to implement dashboards, alerts, and feedback loops—and begin closing the loop immediately.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 Hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional product insight measures worksheet, adoption/quality scorecard, iteration loop checklist, and dashboard/alert planning template