Usage
What You Get
- Every customer who asked for it — semantic search across all feedback, deduplicated by company
- Grouped by sub-need — same feature, different reasons (e.g., export for reporting vs export for data migration)
- CRM-enriched — deal value, segment, stage, churn risk for each customer
- Prioritized into 5 tiers:
- P0: Deal unblockers (CSM outreach within 24h)
- P1: High-value existing customers (personalized email)
- P2: Active customers (batch email grouped by sub-need)
- P3: Churned/at-risk (win-back email)
- P4: Prospects (sales enablement brief for AE)
- Draft messages per tier — referencing each customer’s own words, not generic changelog copy
- Competitive context — if competitors were mentioned alongside this feature gap
- Action plan — who to contact, when, in what order
How It Works
The skill launches 3 parallel research agents:- Customer discovery — searches with 5+ phrasings, reads every matching insight in full, groups by company, extracts quotes and workarounds
- CRM enrichment — looks up every affected customer’s deal value, segment, contacts, and churn risk
- Strategic context — finds competitor mentions, purchase hesitations, and win reasons related to this feature
Why This Matters
Only 5% of companies tell customers when they ship features based on their feedback. The impact when you do:- 8.5% retention increase (12% if within 48 hours)
- 6-point NPS lift
- 78% higher feature adoption for notified vs non-notified users
- 42% open rate on win-back emails to lost deals