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Avoiding Leading Questions

Phrase questions neutrally so the user's answer reflects their reality, not what they think you want to hear.

Why

A leading question telegraphs the answer you want and biases the response. "Do you think an AI review bot would be helpful?" gets "yes" from 90% of people (they want to be agreeable, and "helpful" is a positive word) — but predicts nothing about whether they would use or pay for it. A neutral version — "how do you currently handle PR review?" — gets real behavior and real frustrations. Leading questions are the most common interview failure because they feel natural (we want to talk about our idea) and produce positive responses (which feel validating). But validation that comes from leading questions is false validation: it feels like signal but is actually noise. The discipline of neutral phrasing is what separates a real interview from a sales pitch disguised as one.

When

During script writing and every interview. Takes 10 min to review the script for leading questions before each interview.

How

1. Identify leading words and ban them
   - Positive: "helpful", "useful", "good", "better", "easy", "fast"
   - Negative: "hard", "frustrating", "annoying", "difficult", "painful"
   - These words telegraph the answer; replace with neutral language

2. Replace "would you" with "do you currently"
   - Leading: "Would you use a tool that auto-reviews PRs?"
   - Neutral: "How do you currently review PRs? What tools do you use?"
   - Past/current behavior predicts; future intent does not

3. Replace "do you think X is a good idea" with "tell me about a time when X"
   - Leading: "Do you think AI reviews are a good idea?"
   - Neutral: "Tell me about the last time you reviewed a PR. What did you do?"
   - Stories have signal; opinions do not

4. Replace "is X a problem" with "what is hard about X"
   - Leading: "Is reviewing PRs hard?" (yes/no, leading toward "yes")
   - Neutral: "What is the hardest part of reviewing PRs?" (open, no expected answer)
   - Open questions get stories; yes/no questions get confirmations

5. Do not mention your solution until the last 5 minutes
   - Leading: "Would you use an AI bot that reviews PRs for $15/mo?"
   - Neutral: (ask about current behavior first; mention the solution only at the end)
   - Once you mention the solution, all further answers are biased

6. Test each question: "what would a yes/no answer tell me?"
   - If "yes" confirms your belief and "no" would surprise you → leading
   - If both answers are equally informative → neutral
   - Rewrite until both answers are informative

Example

Leading questions (do not ask):
  - "Do you think an AI review bot would be helpful?" → 90% say yes (agreeableness + "helpful" is positive)
  - "Would you pay $15/mo for an AI review tool?" → 70% say yes (hypothetical money is easy to commit)
  - "Is reviewing PRs frustrating?" → 95% say yes ("frustrating" is leading)
  - "Would you use a tool that saves you 4 hours per week?" → 100% say yes (who would say no?)

Neutral versions (ask these):
  - "Tell me about the last time you reviewed a PR. How long did it take?" → real data
  - "What tools do you currently use for review? Why those?" → real behavior
  - "What is the hardest part of reviewing PRs?" → real pain (may not be what you expected)
  - "How do you currently spend your weekends? Where does review fit?" → real context
  - "What would you change about the review process?" → real desire (unprompted)

Test: for "Do you think an AI review bot would be helpful?"
  - "Yes" confirms my belief (I want to build it) → leading
  - "No" would surprise me → leading
  - Both answers should be equally informative for a neutral question
  - Rewrite: "How do you currently handle PR review?" → both "I use tool X" and "I do it manually" are equally informative

The neutral questions get stories with real details; the leading questions get yes/no with no signal. The 5 interviews with neutral questions will teach you more than 50 with leading questions.

Common Problems

  • ⚠Using positive words in questions — "helpful", "useful", "easy" bias toward yes; use neutral words or open-ended phrasing.
  • ⚠Asking about the future — "would you use X" always overestimates intent; ask about current behavior instead.
  • ⚠Mentioning your solution too early — once the user knows what you are building, they will tell you it is good (agreeableness); keep it hidden.
  • ⚠Not testing questions for neutrality — before the interview, ask yourself "would a yes and a no both be informative?"; if not, rewrite.

Best Practices

  • ✓Ban positive and negative words from questions — "helpful", "hard", "frustrating" all bias; use neutral verbs and open-ended structures.
  • ✓Ask about past and current behavior, never future intent — "when did you last..." and "how do you currently..." get real data; "would you..." gets false positives.
  • ✓Keep the solution hidden until the last 5 minutes — if the user asks, say "I will share at the end; first I want to understand your process"; this preserves unbiased answers.
  • ✓Test each question for neutrality before the interview — if a yes confirms your belief and a no would surprise you, the question is leading; rewrite it.