Customer research
SkillCommunicationThis skill adds marketing abilities to your AI from a collection built for conversion optimization, copywriting, SEO, analytics, and growth engineering. Once added, your AI can take on marketing tasks such as researching customers, improving copy, and analyzing what drives growth.
Use Customer research in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Customer research and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Customer research skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add the skill, then ask your AI to help with a specific marketing task, like researching your customers or drafting copy for a page.
What your AI can do with it
- Research customers and markets to guide marketing decisions
- Write and improve marketing copy
- Optimize pages for search engines
- Analyze marketing and performance data
- Improve conversion rates on landing pages and funnels
- Plan and evaluate growth experiments
What this skill tells your AI
The instructions your AI receives, as published by cbrock84/headcount in plugins/marketing/skills/customer-research/SKILL.md and read by Ahel’s review.
Research earns its cost only if a decision hangs on it. Name that decision before recruiting anyone.
Choose the method by question
- Why did this happen / what do they actually do — interviews. Small n, deep.
- How common is this — survey. Only after interviews have told you what to ask; a survey written from assumptions returns your assumptions.
- Why did we win or lose — win-loss, with losses weighted higher. Losses are where the truth is and are systematically under-sampled.
- Which framing works — message testing against a real choice, not a preference rating.
Interviewing
Ask about the past, not the future. "What did you do last time" is evidence; "would you use this" is politeness.
- Open broad, follow the energy, and go quiet after their first answer — the second one is where the substance is.
- Chase specifics: when, what happened next, what did that cost you, who else was involved.
- Never describe your solution before you have their problem in their words. Once they know what you want to hear, the interview is over.
- Watch for the workaround. Anything someone has built a spreadsheet to survive is a validated problem.
Synthesizing
Code the transcripts before forming a view — findings assembled to support an existing belief will be. For each finding record: the claim, how many independently said it, a verbatim quote, and what would change if it is true. A finding that changes nothing is trivia.
Separate what people said, what they did, and what you inferred. Conflating the three is the most common way research misleads.
Sources
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
Never
- Recruit only happy customers. The sample that answers your email is not your market.
- Lead: "How much would this feature help?" has one answer.
- Present a single interview as a finding.
Signals
- GitHub stars
- 2k
- Forks
- 262
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
customer-research- Source
- github.com/cbrock84/headcount
Related picks
Skill · alirezarezvani
The pick for Competitivecompetitive-analysis
Skill · nahid-sparktales
The pick for Competitivemarket-sizing-analysis
Skill · wshobson
The pick for Marketmarket-entry
Skill · cbrock84
The pick for Marketslack-gif-creator
Skill · anthropics
More in Communicationerror-handling
Skill · affaan-m
More in Communication