Source-weighted product signal memory
Stop treating unequal feedback equally.
Clarift weighs scattered customer signals by source and consequence, explains which problems belong together, and remembers why your team acted—so every product decision has evidence behind it.
Decision
Investigate activation friction before building new feature requests.
Churn
“Never reached the first useful moment.”
Support
“Couldn't figure out the first step.”
“Onboarding is really confusing.”
Vote
“Can you add dark mode?”
The problem
Flat lists hide what actually deserves attention.
A churn note, a support escalation, and a feature vote should not enter the roadmap with the same weight.
Flat list
All signals appear equal. The churn note is buried in the list.
Weighted view
Churn note surfaces first. Retention risk is visible.
How Clarift decides
From source to decision, every step stays visible.
Clarift preserves context, applies weight, groups related evidence, surfaces one decision, and carries the rationale forward.
Source context
Evidence arrives with source, customer context, and consequence intact.
Weight
Source quality and consequence shape priority before volume can dominate.
Pattern
Related evidence groups by root problem. The grouping stays visible and challengeable.
Decision
One recommended move appears with confidence and cited evidence.
Decision Brief
Investigate activation friction before building new feature requests.
Memory
Rationale, corrections, and prior decisions become context for the next run.
The proof
One churn note outweighed eight feature votes.
The mechanism matters because consequence changes priority before volume gets the last word.
8 feature requests — combined weight: 0.12
None of these signals indicate a retention risk. Each is a nice-to-have.
1 churn note — weight 0.87
“Never reached the first useful moment.”
Verdict
Investigate activation friction before building new feature requests.
Honest intelligence
Unknown stays unknown.
When evidence is incomplete, Clarift shows the gap. Low confidence stays visible. Corrections become future context.
Clarift doesn't pretend to know. Unknown is better than confident and wrong.
Evidence gap
Segment
Unknown
Revenue impact
Unknown
Confidence
Low
Action
Needs more evidence
Needs more evidence
Correction history
When a cluster looks wrong, you can correct it. Clarift remembers.
Decision memory
Founders forget.
Clarift remembers.
Each decision is saved with its evidence and confidence score. When the pattern returns in a different source, Clarift knows it is not starting from zero.
"Couldn't get started."
"Onboarding is confusing."
"Never reached first useful moment."
Verdict updated: Monitor → Investigate
The pattern became important because the evidence became stronger, not because it became louder.
Ready to decide with evidence?
Make the next product decision with evidence behind it.
Start with one real source. Keep the reasoning for the next run.