customer-interviews

customer-interviews is a skill for Claude Code from brainbytes-dev/everything-claude-marketing. It costs 30 tokens per session (3,342 once invoked), scanned A, original, MIT.

A guide to planning conversations with customers and prospects to learn about their experiences, needs, buying decisions, and problems.

In plain words
What is it for?
Use it to build buyer profiles, collect customer language for marketing, understand churn, improve onboarding, validate assumptions, and create case studies.
Why use it?
It helps teams gather real customer evidence instead of relying on guesses about audiences, messaging, or product decisions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the everything-claude-marketing plugin — 72 skills, 22 commands, 18 agents, 2 hooks shipped together

Good fit Use it to build buyer profiles, collect customer language for marketing, understand churn, improve onboarding, validate assumptions, and create case studies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brainbytes-dev/everything-claude-marketing/customer-interviews
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add brainbytes-dev/everything-claude-marketing --skill customer-interviews
Clone the repo
git clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketing

Made for: Claude Code.

Or install everything-claude-marketing, the plugin that ships this one along with the rest of its 72 skills, 22 commands, 18 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for customer-interviews

README.md
[![agentmods](https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/customer-interviews/github.svg)](https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/customer-interviews)
Your own site
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/customer-interviews"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/customer-interviews/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for customer-interviews

Your own site · 80×15
<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/customer-interviews"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/customer-interviews.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,342 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.03342
Opus 5.5 $0.00012 $0.01337
Sonnet 5.5 $0.00006 $0.00668
Haiku 4.5 $0.00003 $0.00334

Measured 2mo ago against content hash 6137770bd904, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

customer-interviews scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/research/customer-interviews/SKILL.md · 289 lines

How it starts

The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Customer Interviews

When to Activate

Use this skill when building or refining buyer personas, gathering voice-of-customer (VoC) data for messaging, understanding why customers buy (or don't), conducting Jobs-to-be-Done research, developing case studies, improving onboarding or retention, validating product or market assumptions, or when someone asks you to "talk to customers" or "gather qualitative insights." Interviews are the highest-signal research method in marketing when done well.

First Questions

Before planning interviews, clarify:

  1. What is the research objective? (persona development, messaging, churn analysis, product feedback, journey mapping)
  2. Who should we interview? (current customers, churned customers, prospects who didn't buy, target audience who doesn't know us)
  3. How many interviews? (8-15 for pattern recognition; 5 for quick directional insight)
  4. What format? (video call, phone, in-person — video is the default for remote)
  5. What will we do with the findings? (personas, messaging doc, product roadmap input, content strategy)
  6. What do we already believe? (document assumptions before interviews so you can test them)

Core Rules

  1. Listen more than you talk. The ideal ratio is 80/20 — the interviewee talks 80% of the time. Your job is to ask questions and then shut up.
  2. Never lead the witness. Ask open-ended questions. Never suggest the answer you're hoping for. "What was that experience like?" beats "Was that frustrating?"
  3. Follow the energy. When someone's voice changes, they lean in, or they start a story unprompted — that's where the gold is. Follow it with probing questions.
  4. Seek stories, not opinions. "Tell me about the last time you..." yields better data than "What do you think about...?" Past behavior is more reliable than hypothetical preferences.
  5. Uncomfortable pauses are your friend. When you stop talking, people fill the silence with their real thoughts. Don't rush to the next question.
  6. One interview is an anecdote. Five interviews are a pattern. Don't over-index on a single conversation. Wait for themes to emerge across multiple interviews.

Read the full file on GitHub · 289 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 289 lines · 30 tokens per session scan A 6137770bd904

Subscribe to this mod's changes

customer-interviews is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 3,342 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

customer-interviews compared with skills from other repositories

customer-interviews next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
customer-interviewsbrainbytes-dev/everything-claude-marketingSkill107mo agoMITA30Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
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