User Research Interview Guide + Question Bank
Template · 10 min read
Why User Research Fails in Indian Startups
Many Indian startups treat user research as a mere formality. A Product Manager hops on a 15-minute Zoom call, shows a user a shiny new Figma prototype, and asks, "Do you like this? Would you pay for it?" The user, acting out of typical societal politeness, says, "Yes, it looks very nice." The PM takes this as validation, the engineering team spends three months building the feature, and upon launch, absolutely nobody uses it.
This happens because humans are terrible at predicting their future behavior. Good user research does not ask users what they will do; it asks them to prove what they have already done in the past. To gather accurate data, you need a rigorous, standardized script that focuses on past behavior, workarounds, and existing friction.
1. Pre-Interview Setup & Logistics
A. The Screener Survey
Never interview random users. You must recruit users who represent a very specific behavioral cohort. Use a tool like Typeform or Google Forms to screen candidates.
- Bad Screener: "Are you interested in personal finance?" (Too broad, everyone says yes).
- Good Screener: "Have you abandoned a mutual fund SIP setup flow in our app within the last 14 days?" (Highly specific, targets a broken UX flow).
B. Indian Compensation Norms
Your users' time is valuable. If you do not compensate them, you will only attract users who have nothing better to do, skewing your data.
- B2C Consumer App Users: Offer a ₹500 to ₹1,000 Amazon or Flipkart gift voucher for a standard 45-minute call.
- B2B SaaS / Professionals: A ₹500 voucher is an insult to an enterprise sales manager's time. Offer ₹2,000 to ₹5,000, or a highly valuable perk (e.g., 3 months of your Pro tier software for free).
- Payout Timing: Always state explicitly: "The voucher will be sent to your email within 2 hours of our call concluding."
C. The Platform & Recording Consent
Use Google Meet or Zoom. Always ask for permission to record immediately at the start of the call. Explain that the recording is "Strictly for my internal notes so I don't have to type while we talk, and will not be shared publicly." If they decline, respect it and take manual notes.
2. The Core Interview Script (45 Minutes)
Copy and paste this script structure into your Notion or Confluence document before the call.
Phase 1: The Warm-Up (5 Mins)
Goal: Build rapport, establish context, and make them feel comfortable. Transition to Hindi or a regional language here if you sense they are struggling with English. Comfort yields better insights than forced English.
- "Hi [Name], thank you so much for joining. As promised, your ₹500 Amazon voucher will be sent right after this call."
- "Is it okay if I record this just for my internal notes?"
- "To start off, could you tell me a little bit about what you do day-to-day?"
- "What does a typical weekday look like for you when it comes to [Broad Topic, e.g., managing your team's tasks]?"
- "If you look at your phone right now, what are the top 3 apps on your home screen?"
Phase 2: Problem Exploration / Discovery (15 Mins)
Goal: Dig deeply into the pain points BEFORE mentioning your solution. You are hunting for their 'Job to Be Done' and their current workarounds.
- "Talk me through the last time you tried to [Perform Specific Task, e.g., reconcile vendor payments]. Walk me through it step-by-step as if you were doing it right now."
- "What was the hardest or most frustrating part about that entire process?"
- (Apply the '5 Whys' Technique here. When they give an answer, ask 'Why was that frustrating?' until you hit the root cause).
- "How much time or money would you estimate that specific problem cost you last month?"
- "What other tools or methods have you tried in the past to fix this issue?"
- The Golden Question: "You mentioned using a custom Excel sheet to track this. Can you share your screen right now and show me exactly how you built that sheet?"
- "What do you absolutely love about the current tool you use to solve this?"
- "If you had a magic wand and could fix exactly one thing about this process, what would it be?"
- "Are you the person who actually makes the purchasing decision for software in your team, or does someone else have to approve it?"
Phase 3: Solution Validation (15 Mins)
Goal: Show them a Figma prototype or the live staging environment. Do NOT pitch the product. Observe their behavior silently.
- "I'm going to share my screen and give you mouse control. Without clicking anything yet, just look at this page and tell me what you think this software does."
- "If you wanted to [Perform Core Action], where would you click first?"
- (After they click) "Was that what you expected to happen? Why or why not?"
- "Is there any information missing from this screen that you would need to feel confident making a decision?"
- "Was anything on this page confusing, overwhelming, or unnecessary?"
- "How does doing it this way compare to how you do it today on [Competitor App]?"
- "If this product was available today, would you pay ₹[X] per month for this specific workflow?" (Note: Take pricing answers with a grain of salt. People say yes easily, but parting with actual money is harder).
- "If this product completely disappeared tomorrow, how disappointed would you be?" (The Sean Ellis PMF Question).
Phase 4: Wrap-Up & Referrals (5 Mins)
Goal: Gather final thoughts and build a continuous feedback loop.
- "Is there anything else I should have asked you about [Topic] that we didn't cover today?"
- "Would you be open to me reaching out in a few months to show you the updates we make based on your feedback?"
- "Do you know anyone else in your network who faces this exact same problem? I would love to speak with them as well."
- "Thank you again for your time. Your voucher is on its way."
3. The Core 12 JTBD Interview Questions (With Rationale)
Do not memorize these; copy and paste them into your script. These are battle-tested questions that uncover Jobs to Be Done, not feature wishlist.
Question 1: The Workaround Discovery
"Walk me through the last time you tried to [Core Task]. What's your current process, step by step?"
Rationale: Humans are terrible at predicting behavior but excellent at describing past behavior. You will uncover their actual workflow, hacks, and workarounds. This is where the real insight lives (e.g., "I paste the data into a custom Excel sheet and manually sort it").
Question 2: The Friction Identifier
"What was the most frustrating or time-consuming part of that entire process?"
Rationale: People don't optimize around major pain points; they optimize around small, frequent frictions. A slow export button used 10 times a day is more painful than a monthly data backup that takes 4 hours.
Question 3: The 5 Whys (Root Cause)
"Why was that frustrating?" [They answer.] "Why?" [Repeat 4 more times until you hit emotional bedrock.]
Rationale: Surface-level complaints (e.g., "It's slow") hide deeper emotional jobs (e.g., "I look incompetent in front of my boss when I'm missing data"). Keep asking until they give you an answer about impact on their self-image, time, money, or relationships.
Question 4: The Quantification
"How much time or money would you estimate this problem costs you per month or per year?"
Rationale: A vague problem ("It's annoying") won't drive a purchasing decision. But "This costs me ₹10,000 a month in lost productivity" will. Get numbers. They might be wrong, but the act of quantifying reveals how much they actually care.
Question 5: The Comparison Question
"What other tools or methods have you tried in the past to solve this problem? Why didn't they work?"
Rationale: They've already tried solutions. Understand why they abandoned them. This reveals what "good enough" looks like in their mind and what makes them churn.
Question 6: The Show-Me Question (Gold Dust)
"Can you share your screen right now and show me exactly how you do [Core Task]? Walk me through it as if I were watching over your shoulder."
Rationale: This is when truth emerges. Watching someone actually use a spreadsheet, custom tool, or manual process for 3 minutes teaches you more than 30 minutes of description. You see the real friction: copy-paste loops, manual steps, status quo bias.
Question 7: The Love Question (Emotional Anchor)
"What do you absolutely love about the current tool or method you use for this?"
Rationale: People are attached to existing workflows (status quo bias). Understanding what they like about the current state (even if it's broken) shows you what your solution MUST preserve. E.g., "I love that Excel is flexible; I can customize anything" = Your new tool must offer flexibility, not rigid templates.
Question 8: The Magic Wand Question
"If you had a magic wand and could fix exactly ONE thing about this process, what would it be?"
Rationale: Forces prioritization. Under the constraint of "only one thing," they reveal their true top-1 problem. Everything else is secondary.
Question 9: The Decision-Maker Question
"Are you the person who actually makes the purchasing decision for software in your team, or does someone else have to approve it?"
Rationale: B2B insights are often useless if the user isn't the decision-maker. You might be talking to the junior analyst who loves your product but has zero influence over budget. Qualify early.
Question 10: The Reaction to Prototype
"Looking at this mockup, what do you think this software does? Where would you click first?" [After they interact:] "Was that what you expected?"
Rationale: Do not talk them through the prototype. Watch them fail silently. Confusion = product problem. If they can't figure out how to use it, your onboarding is broken.
Question 11: The Willingness-to-Pay Question (Soft)
"If this product was available today and solved this exact problem, would you pay ₹[X] per month for it?"
Rationale: People say yes easily in hypothetical scenarios. Take this with extreme skepticism. But if they say NO or hesitate, that's real signal. The hesitation shows you that your price is too high relative to their perceived pain.
Question 12: The PMF Question (The Closer)
"If this product completely disappeared tomorrow, how disappointed would you be?" [Scale: Very, Somewhat, Not Much, Not at All]
Rationale: This is Sean Ellis's canonical Product-Market Fit question. Anything below "Very Disappointed" suggests you don't have product-market fit yet. It's a gut check on whether your solution actually matters to them.
4. The Screener Survey (5 Critical Questions)
Deploy this via Typeform or Google Forms BEFORE you recruit anyone. It takes 2 minutes to complete and saves you hours of wasted interviews.
Q1: "What is your role?" [Open text]
Goal: Confirm they are the actual person dealing with this problem, not a stakeholder one level removed.
Q2: "In the last 30 days, have you personally spent time trying to [Core Task]?" [Yes / No]
Goal: Ensure recent, active behavior. "No" = instant disqualify.
Q3: "Roughly how much time per week do you spend on this task?" [Open text, e.g., "2-3 hours"]
Goal: Estimate pain magnitude. Less than 30 min/week = they won't be motivated buyers.
Q4: "What tool or method do you currently use?" [Open text]
Goal: Ensure they have an incumbent or workaround. If they say "Nothing," they might be early-stage or unfamiliar with solutions.
Q5: "What's one thing you'd change about your current process?" [Open text]
Goal: Gauge if they're motivated/thoughtful. Vague answers ("It's bad") are red flags. Specific answers ("CSV exports are slow; I need them to render in <10s") are gold.
5. Affinity Mapping: How to Synthesize Your User Interviews
After conducting 8-10 interviews, you have raw data. Affinity mapping is the method to convert that chaos into patterns.
Step 1: Dump all insights into sticky notes (30 min)
Watch your recordings. Extract every meaningful quote, observation, or behavior. One idea per sticky note. Examples:
"User took 3 minutes to figure out where to export data."
"Called the current tool 'fragile'—it breaks when they add too many rows."
"Uses a shared Excel sheet because 'everyone is familiar with it.'"
"Makes the purchasing decision but asks the CFO for final sign-off."
Step 2: Cluster by theme (45 min)
Lay all sticky notes on a whiteboard or Miro board. Move them into piles: similar ideas together. Don't overthink categories; let them emerge naturally. Your piles might look like:
• "Friction in the current workflow" (7 notes)
• "Emotional needs / status quo bias" (5 notes)
• "Purchasing process / decision-makers" (4 notes)
• "Unmet integrations / missing features" (6 notes)
Step 3: Name the clusters and find the story (30 min)
For each cluster, write a 2-3 sentence summary: "Users are frustrated not by the export function itself, but by the unpredictability. Sometimes it works in 30 seconds; sometimes it times out. They can't rely on it for time-sensitive reporting."
This becomes your "insight" or "finding."
Step 4: Map insights to product actions (45 min)
For each cluster/insight, ask: "What do we do about this?" This might be a feature, a design change, a pricing change, or a messaging change.
E.g., Insight: "Users want flexibility but hate complexity" → Action: Build advanced features behind an "Expert Mode" toggle.
Pro Tip: Never do affinity mapping alone. Bring your product, design, and engineering leads to the session. When the engineer hears directly from the user that "they export data 30 times a day," they immediately understand why your export performance is a top-3 priority, not a nice-to-have.
6. Recruiting Indian Users: Platforms & Norms
For Consumer / B2C Apps:
- PickMyWork (pickmywork.com): India's largest user research freelancer platform. Offers screened participants for ₹300-1,500 per interview, depending on specificity. Average quality is good; turnaround is 48-72 hours.
- UserTesting India (usertesting.com, India tier): Unmoderated video testing. Pay ₹1,500-3,000 per test. Lower personal interaction but fast feedback.
- LinkedIn Recruiter Lite: For targeting specific cohorts (e.g., "Product Managers in Bangalore"). Post a message: "Paying ₹1,000 for a 30-minute chat about how you use analytics tools." Expect a 5% response rate but higher quality.
- Facebook / Instagram DMs: If your target uses your competitor's app, join their Facebook group or follow their Instagram. DM people: "I'm building [Category]. Would you be open to a paid user research call?" Creepy but surprisingly effective. Expect to pay ₹500-1,000 per person for warm outreach.
For B2B / Enterprise Users:
- LinkedIn Direct Outreach: Find your target (e.g., "Finance Manager at Series A SaaS startups") and message: "Hi [Name], I'm conducting research on how finance teams handle reconciliation. I'd like to buy you coffee and understand your workflow. Can I send you a ₹2,000 Amazon voucher for 45 minutes?" Expect a 3-8% response rate.
- Tracxn/AngelList: Get email addresses of startup founders/employees. Cold email with personalization. Offer ₹3,000-5,000 + free access to your product for 3 months.
- Industry Slack Communities: Join startup Slack groups (e.g., "Indian Founders," "Product Managers India"). Post: "Running user research on [Problem]. Paying ₹1,500 for a 30-minute interview. DM if interested." You'll get 10-20 qualified leads within 24 hours.
7. Common Mistakes in User Research (And How to Avoid Them)
- Mistake 1: Pitching instead of listening. You show them a prototype and immediately explain it. ("See, you click here, then drag, then export..."). WRONG. Let them explore in silence. Let them get confused. Confusion = signal.
- Mistake 2: Asking leading questions. Bad: "Would you use this feature?" Good: "What would you do if you wanted to export this data?" The first invites yes/no theater. The second forces behavior description.
- Mistake 3: Only interviewing power users. If you only talk to your most engaged users, you miss churn signals. Interview your churned users, inactive users, and free-tier users equally. They teach you what doesn't work.
- Mistake 4: Forcing English on non-English speakers. A Tier-2 user struggling to speak English will give you polite, short answers. Switch to Hindi or their native language immediately. Quality goes up 10x.
- Mistake 5: Not recording / taking notes. You can't remember a 45-minute call. Record everything (with permission). Transcribe it (Otter.ai, ₹300/month). Quote the user verbatim in your findings, not your paraphrased version.
3. Specialized Interview Question Banks
Sometimes you aren't doing general discovery; you are investigating a specific metric failure. Use these specialized questions.
A. The Churn Investigation (For users who canceled)
- "Take me back to the day you decided to cancel your subscription. What exactly triggered that decision?"
- "Did the product lack a specific feature, or was it a pricing issue?"
- "What are you using right now instead of our product?"
- "What is one thing we could have done differently that would have convinced you to stay?"
B. The Activation Investigation (For users who signed up but never used it)
- "I saw you created an account on Tuesday but didn't finish setting it up. Did you run into a technical bug, or did you just get busy?"
- "When you first signed up, what were you hoping the product would do for you?"
- "At what exact point in the setup process did you feel confused or lose interest?"
4. Post-Interview: The Synthesis Template
Do not dump a raw 45-minute Zoom recording or a messy 5-page transcript into your team's Slack channel. Nobody will watch it. It is the Product Manager's job to synthesize the data into actionable insights.
Create an Insight Card in your Wiki (Notion, Confluence, or Dovetail) for every interview. Use this exact format:
Insight Card: [User Name / Persona]
Date: [Date]
Interviewer: [Your Name]
User Profile: [e.g., Marketing Manager at a Series A SaaS startup, uses HubSpot].
1. The Core Job to Be Done:
"I need to export campaign data fast so I can present it in our Monday review without looking unprepared in front of the CEO."
2. Key Friction / Pain Point:
The user found our new AI reporting feature completely overwhelming. They ignored it entirely. They just wanted a simple CSV export button, which we had hidden under a secondary menu.
3. Direct Quote:
"I don't care about the generative AI insights. I just want my Excel file to not be broken so I can build my own pivot tables."
4. Product Action Item:
Move the CSV export button out of the hidden dropdown and place it permanently on the top right of the dashboard view.
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