jtbd-clustering

star 63

Cluster forces from multiple JTBD interviews to identify patterns. Use after extracting from multiple interviews.

itseffi By itseffi schedule Updated 1/23/2026

name: jtbd-clustering description: Cluster forces from multiple JTBD interviews to identify patterns. Use after extracting from multiple interviews.

JTBD Forces Clustering

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

  1. Create a matrix:

    • Rows = interview stories
    • Columns = distinct forces
  2. 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
  3. Abstraction pass:

    • Review columns for grouping opportunities
    • Rename with overarching descriptors
    • Merge similar forces
  4. Analysis questions:

    • Which forces appear most frequently?
    • Which stories introduced unique forces?
    • What patterns emerge across segments?

Output

  1. Spreadsheet summary: Number of stories and forces identified
  2. Force categories: Abstract labels for each column
  3. Unique contributors: Stories that introduced novel forces
  4. 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.

Install via CLI
npx skills add https://github.com/itseffi/agentic-os --skill jtbd-clustering
Repository Details
star Stars 63
call_split Forks 12
navigation Branch main
article Path SKILL.md
More from Creator