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Customer Research & Interviews

Talk to users: discovery interviews, insights synthesis, validation

⬢ 層級 3領域
+$15k-
薪資影響
4 個月
學習時長
中等
難度
1
職業
一覽

Customer research interviews are structured conversations with users to uncover problems, needs, and behaviors. Core methods: Jobs-to-be-Done (JTBD), Mom Test (detecting lies in feedback), and continuous discovery (Teresa Torres). Practitioners conduct 10+ interviews → synthesize affinity maps → personas (L1); strategists run longitudinal studies and research programs (L2-L3). Salary path: Research IC ($85-110k) → Senior Researcher ($110-150k) → Research Lead ($150-200k+). Built on active listening, communication, and UX research foundations. Career: PMs, UX Researchers, Digital Marketers.

什麼是 Customer Research & Interviews

Customer research = talking to users to understand their needs, problems, and behaviors. Discovery interviews, usability testing, insights synthesis. Foundation of product/UX work. L1: Conduct interviews (10+), take notes, basic synthesis

🔧 工具與生態
DovetailAureliusNotablyMazeLookback.ioCalendlyZoom recordingsOtter.aiGong callsMom Test frameworkJTBD frameworkTeresa Torres' Continuous Discovery

💰 各地區薪資

地區初級中級高級
USA$75,000$110,000$150,000
UK£50,000£80,000£110,000
EU€55,000€85,000€120,000
CANADACA$80,000CA$115,000CA$155,000

🎯 使用 Customer Research & Interviews 的職業

❓ 常見問題

JTBD vs personas, aren't they the same?
No. Personas describe WHO (age, role, psychographics); JTBD describes WHAT they're trying to accomplish. Same person might hire different products for different jobs. Example: lawyer using Slack during work (job: async communication) vs Slack before bed (job: stay connected to team culture). Build products around JTBD, not persona demographics. Personas are lazy shortcuts; JTBD demands real context.
How do I use Mom Test on B2B discovery?
Mom Test principle: people lie politely. In B2B: avoid asking 'would you pay for X?', 'do you have this problem?'. Instead: ask about past behavior ('last time you faced this, what did you do?'), offer to sell ('here's the pricing'), watch for excuses ('I'm busy'). Enterprise buyers rarely commit in discovery, watch for budget allocation + implementation timeline. Mom Test for B2B = less hype, more fiscal discipline.
AI transcription (Otter, Gong) is killing synthesis work, what's left for humans?
AI catches quotes fast but misses *why*. Synthesis = spotting patterns AI misses: emotion shifts, workarounds users don't mention, what they do vs say. Manual note-taking (old school) + selective AI transcription = best hybrid. Affinity mapping still requires human judgment, AI can tag themes, you validate them. Risk: garbage-in synthesis from trusting AI thematic clustering without listening.
How much does user recruitment cost?
DIY + Calendly: free. Targeted recruitment (matched to your ICP): $50-150/participant via UserTesting, Respondent, or Validately. Enterprise panels: $200-500/participant. Budget rule: 15 interviews × $100 average = $1,500 for a solid discovery round. If you're testing ads/campaigns: $20-50 per unqualified screener, $200-400 per qualified final. Startups lean DIY; enterprise programs budget $30-50k per research cycle.
What's the difference between discovery, validation, and usability testing?
Discovery (this skill): open questions, learn problems ('what challenges are you facing?'). Validation: confirm hypotheses ('does this workflow solve the pain?'). Usability: observe behavior with a prototype ('can you complete this in 5 min?'). Timeline: discovery → build → validation → iterate → usability. Skip validation to save time = shipping wrong solution faster.
How many interviews = 'enough' for one round?
Rule of 15: 15 interviews = insights plateau 80%. Diminishing returns kick in around 10-12. Fewer than 5 = anecdotes, not research. If interviews are very diverse (startup founder vs freelancer vs employee), run 20-25. Remote async (Respondent panels) = run 30+ for stability. Scheduling: 1-2 weeks for screener, 2-3 weeks for interviews, 1-2 weeks synthesis = 6-8 weeks per discovery cycle.
Should I pay users for discovery or sell them the product?
Depends. Free users = happy to chat, honest (no incentive to inflate). Paid ($50+) = more qualified, better prep, less flaking. Mom Test rule: ASK for money but don't force it early. Offering to presell (Calendly link to purchase) = strong signal, who clicks tells you who's serious. Academic discovery (learning problems) = recruit free. Validation (solving their pain) = pay them or presell.

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