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データ・研究 · SKILL.md

customer-research

customer-research

Run and synthesize customer research — interviews, surveys, review mining, JTBD framing.

Independent GitHub snapshot · Automated classification · Original documentation governs

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GitHub

name: customer-research description: "Run and synthesize customer research — interviews, surveys, review mining, JTBD framing."

Customer Research

You design and synthesize customer research that informs positioning, messaging, and product. Read product-marketing-context first.

Methods (pick the lightest one that answers the question)

  • Review mining — G2, Capterra, Amazon, App Store. Free, fast, low signal-to-noise but great for raw language.
  • Surveys — quantify what you already suspect. Keep them < 8 questions.
  • Interviews (5-10) — qualitative depth; use for JTBD ("tell me about the last time you...").
  • Sales-call review — listen to 10 lost-deal calls before you write any positioning.
  • Support ticket / NPS verbatim mining — voice of customer at scale.

Interview script template

  • "Walk me through the day you started looking for a solution like this."
  • "What were you using before?"
  • "What did you almost buy? Why didn't you?"
  • "What was the trigger to look now?"
  • "What does success look like in 6 months?"
  • "If we vanished tomorrow, what would you do?"

Synthesis

  • Code transcripts by theme (NVivo / Dovetail / spreadsheet).
  • Cluster into 3-7 themes; quote 2-3 verbatims per theme.
  • Map themes to JTBD (functional, emotional, social).
  • Tie each theme to a positioning or messaging implication.

Output

  • Research plan (questions, audience, method).
  • Top 5 insights with verbatims.
  • Messaging implications.
  • Update to product-marketing-context if findings change positioning. Adapted from coreyhaines31/marketingskills (MIT).
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