See what a Decision Evidence Sprint produces.
This anonymized example shows how Fred turns one roadmap question into a decision-ready report: what was tested, what evidence was collected, where signals converged or contradicted each other, and what the team should do next.
This page is a fictional, anonymized sample created to show the structure of a Fred decision case. It does not describe a real customer, testimonial, implementation result, or performance metric.
Report summary
One roadmap question, one decision case.
Decision under test
Should the team move the new onboarding checklist into engineering next sprint?
Roadmap hypothesis
A guided onboarding checklist will help new B2B users reach the first meaningful product action faster and reduce early-session confusion.
Method used
A focused usability test and short follow-up survey with target users matching the intended onboarding segment.
Evidence table
What the sample report keeps inspectable.
Fred uses AI-assisted synthesis to accelerate pattern detection and report drafting while keeping human review, source evidence, confidence, and limitations visible.
Evidence collected
- Task completion behavior
- User comments during onboarding
- Moments of hesitation or confusion
- Follow-up survey responses
- Researcher observations
- AI-assisted synthesis reviewed by a human researcher
Convergent signals
- Participants understood the purpose of the checklist quickly.
- Most participants expected the checklist to remain visible until setup was complete.
- Several participants used the checklist as their primary orientation point.
- Users reacted positively when checklist items were tied to clear outcomes.
Contradictory signals
- Some users felt the checklist could become intrusive if it appeared too early.
- Advanced users wanted a way to dismiss or minimize it.
- Two participants skipped checklist items when labels sounded like internal product language.
Confidence and limitations
Medium-high confidence, with clear boundaries.
Confidence explanation
The evidence supports moving forward with a limited implementation, but the sample is not broad enough to validate all user segments. The strongest signal is around first-session orientation. The weakest signal is long-term retention impact.
Recommendation
Proceed, but keep the implementation scoped.
Recommendation
Proceed with a scoped onboarding checklist experiment. Build the checklist for the first-session journey only, include dismiss and minimize controls, and rewrite item labels around user outcomes rather than internal feature names.
Risk reduced
The sprint reduced the risk of building a generic onboarding component that users ignore or experience as intrusive.
Next validation step
Run a live activation experiment after implementation to measure first meaningful action completion, checklist dismissal, and time to setup completion.
Decision Evidence Sprint
Bring one risky roadmap decision into Fred.
Scope the decision, collect evidence, review confidence and limitations, and share a decision case stakeholders can inspect.