Describe your existing form
Enter total fields, required fields, whether it includes a password, payment, or phone field, and whether it's single-page or multi-step.
ABANDONMENT-RISK SCORE
Form Friction
Enter your existing form's characteristics and get an abandonment-risk score from real weighted friction factors, flagging what's likely causing drop-off.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate a weighted risk score
Field count and required-field count scale on their own curves, sensitive field types each add a fixed weight, and a multi-step layout reduces perceived friction relative to a single long page.
Get an abandonment-risk verdict and fixes
The score lands in low, moderate, or high risk, with the specific fields and layout choices driving it called out as next steps.
Continue learning: Mobile MVP login and registration UX: what to keep simple · SaaS onboarding UX: what should happen after signup?
Frequently asked questions
Does Form Friction analyze my actual live form?
No. Form Friction computes a risk score entirely from the field counts and characteristics you enter. It does not connect to your website, form builder, or analytics — it is a structured calculator, not a live audit tool.
How is Form Friction different from Form Flow AI?
Form Flow AI is prospective — it helps you design a new form toward a minimal field set based on which fields you say are truly required. Form Friction is diagnostic — it scores the abandonment risk of a form you already have, based on real friction factors like sensitive field types and layout. Use Form Flow AI when designing a form; use Form Friction to audit an existing one.
Why do password, payment, and phone fields weigh differently?
Payment details carry the most hesitation because they involve financial risk, password fields are a common source of validation friction and forgotten-password drop-off, and phone numbers raise privacy concerns for many users — the weights reflect that relative impact, not an exact measured rate for your specific form.
Why does a multi-step layout reduce the score?
Splitting a long form into steps reduces perceived effort even when the total field count is unchanged, since users see a shorter list at a time and get a sense of progress — a well-documented effect in form UX research.
Is this a substitute for real funnel analytics?
No — treat it as a quick structural read before you have traffic, or a sanity check alongside real analytics. Once the form is live, field-level drop-off data will tell you more precisely where users abandon it.
How We Compare
| Feature | MVPHub | Hotjar | Google Forms |
|---|---|---|---|
| Weighted abandonment-risk score from form characteristics | Included | Not included | Not included |
| Sensitive-field-type risk weighting | Included | Not included | Not included |
| Real session recordings and funnel analytics | Not included | Included | Not included |
| Build and host an actual live form | Not included | Not included | Included |
Hotjar shows real user behavior and drop-off once a form is live, and Google Forms is where a simple form actually gets built. Form Friction is useful earlier or alongside either — a fast structural score from the form's own characteristics, without needing live traffic first.
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