Usage
What You Get
- Executive summary — the story of the week in 4-6 lines, written after reading everything. Tells you what happened in plain language — not “1,423 insights from 258 customers” but “Rough week on the support side — two critical outages took down ticket sales and POS payments.”
- Attention items — deal blockers, churn risks, and critical outages that need immediate action. Max 5 items, ranked by criticality.
- What’s driving the numbers — for every notable change this week, an interpreted explanation of WHY, split by source. “Integrations up 54%: 180 from support — mostly sync failures. 68 from calls — operators asking for new connectors.”
- Notable voices — the most vivid customer quotes from the week, with full conversation context from the actual call transcript
- Competitive intelligence — which competitors were mentioned this week, by whom, and whether it’s a threat or opportunity
How It Works
The skill launches 4 parallel research agents:- Numbers agent — gets volume, categories, feature areas, source split (support vs. calls), and week-over-week deltas
- Urgent items agent — finds every deal blocker and churn risk, reads full details for each
- Spike investigation agent — for every area that spiked, reads the actual insights to explain WHY, split by support vs. calls
- Competitive + voices agent — finds competitor mentions, loads conversation transcripts for the best quotes
Support vs. Calls Split
Support tickets are inherently negative — customers contact support when something’s broken. Sales and CS calls capture a broader range — feature requests, discovery, strategic discussions. Mixing them equally makes the brief read like “everything is on fire.” The weekly brief separates them:- From support — what’s breaking, what needs fixing
- From calls — what customers are asking for, what to build next
Quiet Weeks
When nothing spiked, nothing urgent, and no new themes emerged, the brief says so plainly — “Stable week” — and shows a shorter 25-line version with interesting individual quotes instead of fake urgency.Data Quality
The skill silently cleans the data before counting:- Automated bot-generated insights (system error templates repeated identically) are excluded
- Over-extracted calls (same speaker, same topic, multiple near-identical insights) are counted as one topic
- Clean numbers are reported without mentioning data quality artifacts