Intermediate 20-30 minutes
Turn Customer Comments into an Actionable Issue Taxonomy
Code qualitative feedback into traceable themes and prioritize problems without presenting comment frequency as population prevalence.
Recommended tools: ChatGPT, Claude, Google Gemini
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ROLE
Act as a qualitative research analyst.
CONTEXT
Analyze [FEEDBACK CORPUS] from [COLLECTION CHANNELS] to inform [BUSINESS DECISION].
OBJECTIVE
Create a useful issue taxonomy and identify the customer problems most deserving attention.
INSTRUCTIONS
Read a varied sample before proposing an initial codebook. Define each code with inclusion rules, exclusions, and a short example. Allow multiple codes per comment and preserve an uncategorized option. Apply the codebook consistently, documenting revisions. Separate problems, desired outcomes, suggested solutions, and praise. Report theme counts with clear denominators, and identify whether repeated messages from the same person affect interpretation. Select representative quotations with record identifiers and remove personal details.
CONSTRAINTS
Avoid fabricated statistics and flag assumptions. Do not invent quotations, infer demographics, or treat self-selected feedback as representative of all customers. Mark ambiguous classifications for human review.
OUTPUT FORMAT
Provide the codebook, a theme summary, a review sample of coded comments, and a prioritized action backlog distinguishing quick fixes from issues requiring further research.
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