From signals to specs
Turn scattered signals into prioritized, spec-ready opportunities. Ingest evidence from every source, understand your customers, prioritize with frameworks, and auto-generate implementation specs.
Signal Engine
Turn scattered signals into structured intelligence
Connect Zendesk, Gong, Intercom, and more. AI extracts insights automatically, tagging sentiment, severity, and customer context.
Automatic extraction
AI processes transcripts, tickets, and feedback—extracting themes, sentiment, and severity without manual tagging.
Customer context
Every insight automatically links to customer profiles, ARR, segment, and lifecycle stage.
Real-time sync
Continuous ingestion from connected sources ensures your evidence base is always current.
Multi-source ingestion
Connect Zendesk, Intercom, Gong, Amplitude, Mixpanel, Segment, and custom webhooks.
Semantic chunking
Speaker-aware processing preserves conversation context and identifies key moments.
Vector embeddings
Store embeddings for semantic search across your entire evidence corpus.
Deduplication
Intelligent matching prevents the same feedback from being counted multiple times.
Account Intelligence
Every customer touchpoint in one unified profile
Unified view linking CRM, CS platforms, and usage data. See the complete picture for every account.
Complete context
See every support ticket, call recording, and feature request alongside account health.
Segment intelligence
Understand feedback patterns by customer segment, ARR tier, or lifecycle stage.
Churn signals
Surface accounts at risk based on feedback sentiment and engagement patterns.
CRM integration
Sync with Salesforce, HubSpot, and other CRMs for account data.
CS platform sync
Connect Gainsight, Vitally, or ChurnZero for health scores and touchpoints.
Fuzzy matching
Intelligent matching on email domain and company name unifies records.
Timeline view
Chronological feed of all customer interactions and feedback.
Priority Intelligence
Your framework, powered by real evidence
Choose RICE, ICE, Kano, MoSCoW, or build your own—AI auto-populates every value from your actual evidence. No more subjective scores. Just data.
RICE
Reach, Impact, Confidence, EffortTraditional frameworks ask PMs to estimate scores—introducing bias and “prioritization theater.” Framewerk pulls values directly from your evidence: usage analytics, customer conversations, support tickets, and revenue data. The scores are traceable, defensible, and impossible to inflate.
Framework flexibility
RICE, ICE, Kano, MoSCoW, or fully custom—choose what fits your process, or switch frameworks to compare rankings side-by-side.
AI auto-population
Reach from analytics, Impact from evidence, Effort from historical data. Every score grounded in real data, not gut feel.
Bias detection
Surface contradictions in your evidence and get alerts when scores might be inflated. Data wins over HiPPOs.
Five built-in frameworks
RICE, ICE, Kano, MoSCoW, and Weighted Scoring—each with AI-populated values from your evidence corpus.
Custom scoring models
Define arbitrary fields, set weights, and create formulas that match your team's strategic priorities.
What-if simulation
Adjust dimension weights and instantly see how rankings shift. Compare scenarios before committing.
Revenue aggregation
Automatically calculate total ARR at risk by summing linked customer revenue and churn signals.
Brief Builder
From opportunity to implementation-ready spec in minutes
Generate PRDs with a click. Briefs and specs detailed enough for AI coding agents to implement without clarification.
AI-ready output
Specs detailed enough that AI coding agents can implement without follow-up questions.
Evidence traceability
Every requirement links back to the customer evidence that inspired it.
Version control
Immutable spec versions create a clear audit trail of product decisions.
Two-part structure
Briefs capture the what and why; Specs detail the how with technical requirements.
Template library
Start from proven templates or create custom formats for your team.
Collaborative editing
Real-time collaboration with inline comments and approval workflows.
Export to dev tools
One-click export to Jira, Linear, or GitHub with bidirectional sync.
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