customer-intel

Solid

Synthesize recent customer feedback and pain points

AI & Automation 448 stars 122 forks Updated today NOASSERTION

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Quality Score: 87/100

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Recency 20%
100
Frontmatter 20%
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Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Purpose Aggregate and analyze customer feedback from all sources - meeting notes, person pages, feedback captures - to identify patterns, prioritize pain points, and inform product decisions. ## Usage - `/customer-intel` - Review last 30 days of feedback - `/customer-intel [timeframe]` - Specify timeframe (e.g., "last week", "Q1", "last 90 days") - `/customer-intel [customer-name]` - Deep dive on specific customer --- ## Step 1: Gather Customer Feedback Search across multiple sources for customer mentions: ### Primary Sources 1. **00-Inbox/Meetings/** - Meeting notes from last 30 days (or specified timeframe) - Search for: customer names, company names, "customer said", "feedback", "pain point" 2. **People/** - Customer person pages (External/ directory) - Check for recent notes, pain points mentioned, feature requests 3. **00-Inbox/Customer_Feedback/** (if exists) - Dedicated feedback captures 4. **04-Projects/** - Customer mentions in project context ### Keywords to Search - Pain points: "frustrated", "pain", "problem", "issue", "struggle" - Feature requests: "want", "need", "wish", "could we", "feature request" - Competitive: "competitor", "vs", "compared to", "switching" - Positive: "love", "great", "works well", "helpful" --- ## Step 2: Categorize and Theme Group findings into categories: ### Pain Points - What customers are frustrated with - What's not working for them - What's taking too long or too manual ### Feature Requests - Specific f...

Details

Author
davekilleen
Repository
davekilleen/Dex
Created
6 months ago
Last Updated
today
Language
Python
License
NOASSERTION

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