Survey and feedback forms

What is Survey and feedback forms?

Survey and feedback forms help you measure satisfaction, loyalty, and qualitative insight. Combine Scale and Star ratings with Long Text for open comments, optionally enable AI follow-ups when scores are low or answers need depth, and track completion in Analytics.

How it works

1. Start from a feedback template, AI prompt, or a blank Universal form aimed at research.
2. Add Scale and/or Star fields for CSAT, NPS-style, or rating questions.
3. Add Long Text (and Short Text) for open-ended research comments.
4. Optionally enable AI follow-ups on questions where you want contextual probes at fill time.
5. Publish, share or embed, then review Results and Analytics (views, starts, completes).

Key capabilities

• CSAT, NPS, and research patterns

  Model satisfaction and loyalty questions with rating fields, then pair them with open text for qualitative feedback.

• Scale, Star, and Long Text

  Use Scale and Star blocks for ratings and Long Text for paragraphs - core building blocks for feedback instruments.

• Optional AI follow-ups

  Enable AI follow-ups so Formit can ask contextual probes during the fill when you need richer answers (subject to product rate limits).

Benefits

• Standardize CSAT/NPS-style measurement without a separate survey product.
• Capture both scores and narrative context in one submission.
• Improve response quality with optional AI follow-ups on key questions.

Use cases

• Post-purchase or post-support CSAT
• NPS-style loyalty pulses
• Churn and cancellation interviews
• Product research and usability feedback

Example workflow

A support lead builds a CSAT survey with a Scale question (“How satisfied were you?”), a Star rating for agent helpfulness, and Long Text for comments. AI follow-ups are enabled on the Scale field so low scores trigger a clarifying probe. The form is published and linked from ticket resolution emails; Analytics shows starts versus completes.

Tips and best practices

• Ask one primary metric first, then optional open text - short surveys convert better.
• Use Statement blocks to set context (“About your last support ticket”) before ratings.
• Pair low-score AI follow-ups with clear internal tagging so ops can prioritize outreach.

Limitations and plan notes

• AI follow-ups are optional and rate-limited; they are not a substitute for a full interview panel.
• Deeper funnel analytics views may be plan-gated depending on your workspace plan.
• NPS-style flows use Scale fields and your own scoring interpretation - Formit does not replace a dedicated NPS platform.

Frequently asked questions

Which fields should I use for CSAT or NPS-style surveys?

Use Scale and/or Star for ratings, and Long Text for open comments. Structure the question copy to match CSAT or NPS-style wording for your audience.

Can AI follow-ups run on feedback forms?

Yes. You can optionally enable AI follow-ups on questions so Formit asks contextual probes during the public or authenticated fill, within product rate limits.

Do survey forms need a special quiz mode?

No. Feedback surveys typically use Universal (or a feedback-oriented template) with Scale, Star, and text fields - not Knowledge or Match quiz scoring.

Where do I see completion rates?

Use Analytics for views, starts, and completes, and open Results for individual submissions and qualitative answers.