JTBD Forces Clustering
SkillDev toolsCluster forces from multiple JTBD interviews to identify patterns. Use after extracting from multiple interviews.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the JTBD Forces Clustering skill
What this skill tells your AI
The instructions your AI receives, as published by itseffi/agentic-os in .agents/skills/jtbd-clustering/SKILL.md and read by ahel’s review.
Cluster and categorize forces from multiple interviews for pattern analysis.
When to Use
When you have JTBD extractions from multiple interviews and need to identify patterns across them.
The Process
-
Create a matrix:
- Rows = interview stories
- Columns = distinct forces
-
Code each interview:
- Start with first story's forces as initial columns
- For each new story:
- If force matches existing column: mark "1"
- If force is novel: add new column
-
Abstraction pass:
- Review columns for grouping opportunities
- Rename with overarching descriptors
- Merge similar forces
-
Analysis questions:
- Which forces appear most frequently?
- Which stories introduced unique forces?
- What patterns emerge across segments?
Output
- Spreadsheet summary: Number of stories and forces identified
- Force categories: Abstract labels for each column
- Unique contributors: Stories that introduced novel forces
- Patterns and insights: Notable observations
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
Signals
- GitHub stars
- 112
- Forks
- 21
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
jtbd-clustering- Source
- github.com/itseffi/agentic-os