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Why Forms Give You Garbage Data (And What To Do About It)

April 2026 · 6 min read

The open text field that ruined your data

You've seen it. Maybe you built it. A Google Form with a text field that says:

“Describe your project.”

And the response you get back: “Good.”

That's not an outlier. That's the median response. And it's not because the respondent is lazy — it's because the form gave them no reason to try harder.

The numbers are brutal

67% of people abandon an online form before finishing. That's not a design problem — that's a format problem.

The remaining 33% who do finish? Most are satisficing. Checking the first acceptable option, typing the shortest acceptable answer, and racing to the Submit button.

Here's what that means for your data:

•Your "Describe your project" field has 3 useful responses out of 40
•Your NPS score is a number with zero context
•Your dropdown data shows what people clicked, not what they think
•Your open-ended questions are either blank or one sentence

Why this happens (it's not the respondent's fault)

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Forms are extraction machines.They take your time and give you nothing back. There's no feedback, no adaptation, no sense that anyone's actually listening.

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Forms can't follow up.When someone writes "We need a new website," a human would ask "What's wrong with your current one?" A form shows the next question about budget.

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Forms treat everyone the same.A first-time applicant and a returning customer get the same 15 questions in the same order. No context, no adaptation, no intelligence.

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Forms don't explain themselves."Please provide your phone number" — why? Is someone going to call me? The form doesn't say, so the respondent doesn't trust, so they skip or lie.

The hidden cost: follow-up calls

Here's the real expense nobody calculates. You send 200 application forms. You get 66 back (67% abandoned). Of those 66, maybe 20 have enough detail to evaluate. For the other 46, you schedule a call.

46 calls × 30 minutes = 23 hours of calls to get information that should have been in the application.

The form didn't save time. It created work.

What actually works: conversations

When a conversation adapts to what someone says — following up, probing deeper, adjusting the questions — the data quality transforms.

“We need a new website” becomes a 2-minute exchange that uncovers: the redesign is driven by a rebrand, the primary audience is investors (not customers), the deadline is tied to a funding round in September, and the budget is €15-25K.

Same respondent. Same topic. 10x the useful information. The difference? Someone asked follow-up questions.

The respondent side matters too

Here's what most data collection tools get wrong: they optimize entirely for the creator. Better forms, better analytics, better dashboards — all for the person building the form.

Nobody asks: what does the respondent get?

The answer, with forms, is nothing. When filling out a form feels like a chore, people treat it like one. When it feels like a conversation with someone who genuinely wants to understand them, they engage differently.

What to do about it

If you collect important information from people — applications, briefs, feedback, intake data — ask yourself three questions:

Would a human ask follow-ups? If yes, your form is leaving data on the table.
Do respondents get anything back? If no, you're asking for effort without reciprocity.
Are you scheduling calls to fill gaps? If yes, the form isn't doing its job.

The technology to fix this exists now. The question isn't whether forms will be replaced. It's how much garbage data you're willing to tolerate before you switch.

This is what we're building at Unformal.

See what it feels like in 2 minutes. No signup required.

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