SkillMachine
All skills

Call Conversation Theme & Root-Cause Extractor

Report

Compresses thousands of calls into 5-9 decision-ready themes with root cause and fix.

Live output preview

Input Format: Input FormatOutputWatch the Output: Watch the Output

A plan is required to view this content

Choose a plan to access input format, sample outputs, and live previews.

View Plans →

About the skill

What it does

Reads a call/chat/QA corpus and compresses it into 5-9 manager-ready themes, extracting each theme's root cause and a prioritized corrective action. The logic: nobody can read 10,000 calls, but a theme map can be read. The method is anchored to named canon, not gut judgment:

  • Braun & Clarke Reflexive Thematic Analysis (2006, 6 phases) — the gold standard for qualitative coding: familiarization → open coding → searching for themes → reviewing → naming → reporting. Ten customers may all say "price," but why they say it differs — the theme captures the meaning behind the symptom.
  • Grounded Theory (Strauss-Corbin) — open/axial coding plus constant comparison; saturation is declared when the last ~10% of calls produce no new codes.
  • COPC CX Standard — every QA finding maps to a Customer / Business / Compliance critical-error class; calibration checks rater consistency, and severity (info/warn/critical) derives from this.
  • 5-Whys + Pareto (80/20) — the "why" chain is driven to the human/process/system/policy layer; themes are volume-ranked and the cumulative-80% vital few are flagged.
  • Kano + Impact×Effort — every action is RICE-like prioritized with a must-be/performance/delighter label.

Output: a 0-100 Conversation Health Score (weighted FCR proxy + sentiment + repeat-call + critical-theme share), a theme table, Pareto, a 5-Whys tree, and a ranked action list. Industry benchmarks (SQM 2025: ~70% FCR average, ≥80% world-class) are cited explicitly.

When to use it

When you have a transcript/QA corpus and the question is "what do customers complain about most, why, and what do we do?" Typical triggers: high repeat-call rate, low FCR, complaint clustering, VoC root cause, QA failure patterns. Not for: capacity/FTE/Erlang-C planning or pure shift optimization. This skill analyzes content, not volume.

Method / frameworks

Braun & Clarke 6-phase RTA · Grounded Theory saturation · COPC 3 critical-error classes + calibration · 5-Whys (Toyota/Ohno) · Pareto 80/20 · Kano Model (1984) · KVKK Art. 4-6 (purpose limitation, data minimization, masking). Every theme passes a 5-criterion rubric: evidence density (≥3 calls), root-cause clarity (not a symptom), volume share, actionability, COPC severity. Themes below threshold fall to gaps as anecdotes — no theme is born from a single quote.

How do I use this skill?

You don't "run" a skill — after installing it you just tell the agent your task (e.g. ask for the relevant job), and the skill kicks in by itself when its description matches.

Upload the cagri-konusma-analizi-tema-cikarici.zip you downloaded as-is — no packaging needed, the format is already correct (folder at root).

  1. Open Settings → Customize → Skills
  2. Upload → select the cagri-konusma-analizi-tema-cikarici.zip you downloaded
  3. Claude reads SKILL.md; the name + description appear. Ready ✅

Scripts run in Anthropic's code-execution environment (sandbox) — not on your machine.