Signal Scoring
Intelligent prioritization
Overview
Signal Scoring uses AI to automatically analyze and prioritize your ideas based on multiple factors including customer impact, revenue potential, urgency signals, and strategic alignment. Stop guessing which features to build next.
Plan Availability
- •Growth plan — Signal aggregation (frequency and recency scoring)
- •Scale plan or higher — Full signal scoring with revenue weighting, RICE scoring, and trend detection
- •Ideas with customer attribution improve revenue signal accuracy
How It Works
Each idea receives a Signal Score from 0-100 based on multiple weighted factors:
Understanding Scores
Strong signals across multiple factors. Consider prioritizing these ideas for your next sprint or quarter.
Moderate interest with some strong signals. Worth investigating further or combining with related requests.
Limited signals or impact. May be worth keeping for future consideration but not an immediate priority.
Using Signal Scores
View Score Breakdown
Click on any idea's signal score to see a detailed breakdown of how it was calculated:
- Individual factor scores
- Contributing customers with ARR
- Urgency indicators detected
- Related/duplicate ideas
Sort by Signal Score
In your ideas list, sort by Signal Score to see the highest-impact ideas first. Combine with filters for category or status to focus your review.
Configure Weights
Customize how factors are weighted in Settings → Signals:
- Emphasize revenue if you're revenue-focused
- Boost frequency for volume-based prioritization
- Increase urgency weight for fast-paced teams
Best Practices
- Link ideas to customers to improve revenue signal accuracy
- Merge duplicate ideas to consolidate signal scores
- Use signal scores as input, not the final decision - combine with strategic review
- Review low-score ideas periodically - they may gain signals over time