Turn Customer Signals Into Decisions—at GenAI Speed
This fast paced, interactive workshop helps you define the customer insight measures and operating approach that make GenAI-driven customer understanding visible, comparable, and actionable across your business. You’ll leave with a practical customer insights plan you can use to improve decisions, experiences, and outcomes—
don’t assume you know what customers want, prove it with insight you can act on.
The Challenge
It can be challenging to turn customer data into consistent, decision-ready insights with GenAI:
- Customer data is disconnected from impact: Teams collect signals, but can’t tie them to use cases, outcomes, or measurable lift.
- Insights aren’t operationalized: Even strong findings don’t change behavior when they aren’t embedded in planning, prioritization, and execution.
- Visibility is fragmented: Without consistent dashboards, segmentation, and feedback loops, leaders don’t trust the story—or act on it.
Actionable customer insight is the engine of GenAI product advantage—and adoption.
Our Solution
A structured, hands-on workshop that helps you define a targeted GenAI customer insights plan—so you can generate meaningful insight, visualize it clearly, and institutionalize its use across functions.
- Explore our GenAI Insights Best Practices catalog: Review proven patterns for customer insight generation, segmentation, dashboards, and closed-loop feedback.
- Define your priority customer insight measures: Select a small set of core measures tied to customer outcomes, experience quality, and business impact.
- Define your reporting frequency: Establish a cadence for customer insight reviews that fits how quickly your teams need to respond and adapt.
- Assign an accountable owner: Clarify ownership for insight generation, data inputs, interpretation, and cross-functional follow-through.
- Define actionable next steps: Identify what to instrument, model, dashboard, and operationalize first to make insights usable in real decisions.
Area of Focus
- Mapping customer data to GenAI use cases and impact
- Building analytical models for insight generation
- Integrating feedback loops and voice-of-customer
- Creating dashboards and segmentation frameworks
- Institutionalizing customer insights across functions
Participants Will
- Leave with a defined set of customer insight measures tied to GenAI use cases and customer/business impact.
- Identify the data sources and feedback loops required to keep insights current and credible (VoC, support, usage, surveys, etc.).
- Define a segmentation and dashboard approach that makes insights easy to interpret and act on.
- Align on an operating cadence and ownership model to ensure insights drive decisions—not just reports.
- Produce a next-step action plan for what to build, automate, and embed into business rhythms first.
Who Should Attend:
Solution Essentials
Format
Virtual or in-person
Duration
2 Hours
Skill Level
Beginner to Advanced (non-technical friendly)
Tools
Optional customer insight measures worksheet, VoC/feedback loop map, segmentation framework canvas, and dashboard planning template