Research Rocket Sample Asset

Sample Decision Brief

A preview of how Research Rocket turns market research, UX research, and decision support into a concrete recommendation before launch.

Product Question AI onboarding launch

Risk Level Medium

Recommendation Refine before launch

Decision Summary

Should we launch the new AI onboarding feature next sprint?

Market demand is promising, but current user evidence suggests the team would introduce avoidable adoption risk by shipping now.

Recommendation: refine before launch

Why This Call Was Made

Interest is high, but trust drops when users imagine setup and permissions.
Interview patterns show confusion around what the AI actually does.
Survey feedback indicates the value proposition is attractive but still vague.
The likely risk is not lack of demand, but weak first-use confidence.

Evidence Inputs

Market and user signals considered

Qualitative interviews with target customers
Survey responses on perceived value and trust
Early positioning and onboarding message review
Behavioral friction themes from research synthesis

Primary Risk

Adoption risk due to trust and clarity gaps

The current launch path risks a weak first impression because users do not yet understand the AI’s value or feel confident enough to adopt it.

Recommended Next Steps

1. Clarify the promise

Rewrite onboarding language so users understand the benefit and data usage before they interact with the feature.

2. Validate trust signals

Run a short round of targeted user testing to see whether revised copy improves confidence and intent to use.

3. Reassess launch readiness

Compare updated evidence before deciding whether to launch, narrow the release, or delay for one sprint.

        Instead of asking “Do people like the idea?”, this brief helps teams answer
        the more valuable question: “Is this ready to launch without creating
        avoidable product risk?”
      