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Sector Thesis·5 min read·Week 26

Intent vs Action: Why 90% Say Yes, 10% Actually Pay

Indian founders mistake politeness for validation. Users say they'll pay. They don't. Learn the 5 signals that separate real demand from social courtesy—and how to test them before you build.

ByAmit Tyagi·Fitoor Capital
Aletheia Insights · Weekly

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The Politeness Problem in Indian Markets

You sit across from a Delhi IT manager. You describe your B2B workflow tool. Their eyes light up. 'This is exactly what we need,' they say. You leave the meeting confident.

Six months later, zero revenue.

This isn't unique to India. But India amplifies it. Cultural courtesy, hierarchical deference, and social friction create a thick layer of 'yes' that masks actual 'no.' Western founders hitting Indian markets crash hardest here.

The core issue: verbal intent and purchasing intent are different variables. They're not correlated above chance.

Why Words Fail

When you ask a user, 'Would you pay for this?'—you're not measuring demand. You're measuring:

- Social politeness (not wanting to disappoint you)
- Optimism bias (imagining a frictionless world)
- Hypothetical thinking (the gap between what people say and what they do)

Daniel Kahneman's research shows users overestimate future behavior by 40% when asked directly. In India, add another 30% for cultural courtesy norms.

Your users aren't lying. They're not conscious about it either. They genuinely believe they'd use and pay for your product—in that moment, under that framing.

But belief isn't buying.

The Real Signal: Existing Friction Tolerance

Here's what YC actually teaches: Find users who are already paying for a worse solution.

If they're manually tracking inventory in Excel, they're bearing friction. If they're using a clunky offline spreadsheet instead of switching to SaaS, they've made a choice.

That friction tolerance is your signal.

Why? Because switching costs money and effort. If someone endures bad friction instead of moving, one of two things is true:

1. The problem doesn't hurt enough to justify change.
2. Your solution isn't obviously better.

Both kill your business.

The user experiencing real pain will:
- Complain unprompted (not wait for you to ask)
- Have already attempted fixes (failed solutions exist)
- Know the cost of the current system in explicit numbers
- Show impatience (they want this solved now)

The 5 Tests That Separate Real from Polite

Test 1: The Wallet Test

Don't ask if they'd pay. Ask: 'What are you currently spending on this?'

If they can't name a number, the problem isn't acute. Real pain has a price tag attached.

Indian founders skip this. Don't. A Bangalore SaaS founder selling to manufacturing plants discovered their target wasn't spending anything—they were treating the problem as unsolvable, not expensive. Different market entirely.

Test 2: The Commitment Test

Say: 'I need 2 hours of your time weekly for the next month to validate this. There's no payment, but you'd be locked in.'

Watch what happens.

Users with real intent commit. Polite users find reasons they 'can't promise that yet.' Commitment requires friction. Real demand absorbs it.

Test 3: The Objection Test

Stop selling. Ask: 'What would make you hesitant to use this?'

Listen for substance. 'Nothing, looks good' is a polite deflection. 'We can't integrate with our ERP' is real.

Users with genuine intent negotiate. They object. They ask hard questions. They want to believe but need proof.

Polite users agree and vanish.

Test 4: The Pre-Payment Test

Offer a heavily discounted early-bird rate. 'Beta access at 40% off, paid today.'

Don't just ask about payment. Create a moment where money moves. Scott Belsky calls this 'friction as filter'—the payment moment reveals intent faster than any interview.

A Pune logistics startup tested this. 60% of interview respondents said they'd use the product. 8% paid for early access. That 8% became the founding cohort.

Test 5: The Referral Test

Ask: 'Who else in your network has this exact problem?'

Real users generate warm intros. They want the solution badly enough to vouch for it. Polite users give vague names or say 'I'll think about it.'

Warm referrals have 5x higher conversion. Not because of the introduction—because of the selection effect. Users who refer are users who believe.

The Non-Obvious Insight

The best signal isn't what users say. It's what they've already paid for. If they're using a B2B tool they hate, paying for it monthly, they're in pain. That pain is your wedge.

If they're not paying for anything—if the problem is 'solved' by manual work, spreadsheets, or inaction—you haven't found a market. You've found a rationalization.

The Messy Middle Principle

Scott Belsky's insight: Most startup ideas fail not because the core insight is wrong, but because founders mistake validation for confirmation.

You enter the Messy Middle—where the initial excitement is gone but traction isn't real. Most teams die here because they confused 'users who said yes' with 'users who bought.'

The fix: Skip the verbal validation loop. Go straight to commitment signals. Money. Time. Referrals. Objections. These are your truth metrics.

Actionable Framework: The Intent Hierarchy

Rank your validation efforts:

1. Strongest: User pays (even $1 for beta)
2. Strong: User commits time or introduces peers
3. Medium: User objects specifically and asks hard questions
4. Weak: User says they'd use it
5. Worthless: User says they'd pay when you ask directly

If 50% of your interviews are at levels 4-5, restart your research.

The Takeaway

Stop asking 'Would you pay for this?' Start asking 'What are you paying now? Can I have your credit card for early access? What would stop you?'

Watch what happens. The users who stay—who commit, who object, who pay—those are your market.

The others are being kind.

Amit Tyagi

Founder, AletheiaAI & GP, Fitoor Capital

Veteran of India's startup ecosystem. Writing about fundraising, investor psychology, and what it takes to build fundable startups in India.

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Intent vs Action: Why 90% Say Yes, 10% Actually Pay · Aletheia Insights