Practical guide

Check an AI feedback summary against the answers

Last materially reviewed 2026-10-01

Quick answerTreat a summary as a draft interpretation, not a replacement for the response set.
What to know

Start with the input boundary

Record which field, period and responses were included. A summary based on one comment field may not know a rating, service type or skipped answer elsewhere. Yay! Forms documents field-based insights and chat reports; its minimum response requirement is a software condition, not proof that the set is large or representative enough for a business conclusion.

What to know

Use a small review table

For each important summary claim, find the supporting original answers and any conflicting answer. Label the claim supported, overstated, contradicted or unclear. These are editorial review labels, not an automated truth score. Do not ask a second generated summary to certify the first without checking the underlying material.

What to know

A fictional failure to catch

Three comments praise service quality while two mention confusing directions. A summary that says “Customers are delighted with the whole experience” loses a material qualification. A better working note preserves both observations and the small count. Do not infer a root cause, age group or intention that respondents never stated.

What to know

Keep people and sensitive data out of automated judgments

This guide is about ordinary service-process decisions, not assessing employment, credit, health, housing or legal outcomes. Review the provider’s applicable data terms before using private text. Our site does not upload your comments or call an AI service; its examples are fictional and its calculators use aggregate numbers.

What to know

A useful failure record

When a summary overstates a finding, save a concise description of the error and the supporting response references in the approved private review location. For example, “Summary generalized two entrance comments to all service steps.” Do not merely regenerate until a pleasing answer appears. A corrected human note can be the final output. Repeated omissions may be a reason to stop using that feature for the task, even if it remains useful for navigating a larger response set.

Continue when useful

Next: Comment themes

Use a small, explicit set of themes and preserve the original comment behind each label.

Open Comment themes →

Sources used for this page

These records support the facts and comparisons above. Merchant-controlled records are labelled so you can separate product claims from independent evidence.

  1. Yay! Forms AI response insights — Merchant documentation · yayforms.com · Merchant-controlled · checked 2026-10-01