New

Now in Claude, ChatGPT, Cursor & more with our MCP server

Back to docs
Comparisons

How to Convert a Google Forms Survey to an AI Interview (2026)

A field-by-field guide to migrating a Google Forms survey into a Koji AI-moderated interview — map every question type, add AI follow-up probing, and get themed analysis automatically.

The Bottom Line

Google Forms is the fastest way to collect answers and the slowest way to understand them. It captures one flat answer per question, never asks a follow-up, and hands you a spreadsheet you still have to read line by line. The fix is not a better form — it is a better medium. Convert the form into an AI-moderated interview and the same questions still chart correctly and every open answer gets probed for the "why." With a platform like Koji, the migration takes about 20 minutes: map each Google Forms field to one of Koji's 6 structured question types, set how deeply the AI should probe, and publish a single interview link.

This is the field-by-field migration guide.

Why Google Forms Hits a Ceiling

Google Forms is free, familiar, and genuinely good at intake — RSVPs, sign-ups, simple polls. The structural ceiling shows up the moment you actually want to learn something:

  • No follow-up. A respondent writes "the onboarding was confusing" and the form moves on. The one detail that would have told you what was confusing is gone forever.
  • Manual analysis. Long-answer responses pile up in a Sheet. Someone has to read, tag, and theme hundreds of rows by hand.
  • Shallow open text. Because typing is effort, people write three words where they would have said three sentences.
  • No quality signal. A blank, joke, or "asdf" answer counts exactly the same as a thoughtful one.

An AI interview removes all four ceilings while keeping everything Google Forms did well.

Step 1 — Audit Your Existing Form

Open your Google Form and list every question with its type. You will usually find a mix of: short answer, paragraph, multiple choice, checkboxes, dropdown, linear scale, multiple-choice grid, and the identity fields (name, email). Mark which questions are quantitative (you want to chart them) and which are qualitative (you want to understand them). The qualitative ones are where an AI interview pays for itself.

Step 2 — Map Each Field to a Koji Question Type

Koji uses 6 structured question types, each of which determines how the AI asks the question and how the report visualizes it. Map your Google Forms fields like this:

Google Forms fieldKoji question typeWhat changes
Paragraph (long answer)open_endedNow probed with up to 3 AI follow-ups; auto-themed in the report
Short answer (opinion)open_endedBecomes a real conversational answer instead of a typed fragment
Multiple choice (one)single_choiceRenders as a frequency bar chart automatically
Checkboxes (many)multiple_choiceStacked frequency chart across all responses
Dropdownsingle_choiceSame data, cleaner aggregation
Linear scale / ratingscaleDistribution chart; set scaleMin/scaleMax to match (e.g. 1–5, 0–10 for NPS)
"Rank these" questionrankingRanked list with average position
Yes/No multiple choiceyes_noPie/donut chart
Short answer (name, email, phone)Intake form fieldMoves out of the conversation into the pre-interview intake

Keep your question wording identical wherever possible. Preserving the exact text means your before/after data stays comparable — you can run the AI interview alongside historical Google Forms data without breaking trend lines. Koji's structured questions carry stable IDs from the brief all the way through to report aggregation, so each question is tracked consistently end to end.

Step 3 — Move Identifiers to the Intake Form

Name, email, and phone do not belong in a conversation — asking "what is your email?" mid-interview is awkward and kills momentum. In Koji, these become intake form fields collected once before the interview starts, alongside any consent text. Keep the intake short: every extra field is a dropoff risk at exactly the moment a participant is deciding whether to begin.

Step 4 — Set Probing Depth Per Question

This is the step Google Forms can never replicate. For each open_ended question, set maxFollowUps from 0 to 3:

  • 0 — ask and move on (use for warm-ups or low-stakes questions)
  • 1 — one clarifying follow-up (the safe default)
  • 2–3 — deep probing for your most important questions ("Tell me more about that," "What made that frustrating?")

For scale questions you can enable an anchor follow-up — when someone rates 4/10, the AI automatically asks what would make it a 9. That single behavior turns a flat NPS number into a list of concrete, prioritized fixes. Platforms like Koji handle this probing automatically; with Google Forms you would have to email every low scorer by hand.

Step 5 — Choose Voice or Text (or Let Participants Choose)

Koji interviews run in voice or text. Voice answers are typically longer and more candid because talking is lower-effort than typing — ideal for emotional or detailed topics. Text suits quick mobile sessions and sensitive subjects. You can offer both and let the participant pick. Either way the AI transcribes, probes, and analyzes identically.

Step 6 — Publish, Share, and Watch Insights Build

Publish the study and you get a shareable interview link (you can customize the slug) to drop anywhere you used to paste your Google Forms URL — email, Slack, an in-product prompt, a QR code. As responses arrive, Koji analyzes them in real time: quantitative questions aggregate into charts, and open-ended answers are coded into themes with supporting verbatim quotes. There is no spreadsheet to read and no manual tagging.

Cost — And the Quality Gate

Koji's Insights plan is €29/month (29 credits ≈ 29 text or ~9 voice interviews); the Interviews plan is €79/month (79 credits). Text costs 1 credit, voice 3, a report refresh 5. The detail that matters: only conversations scoring 3+ on quality consume a credit — blank, joke, and bot responses are free. Google Forms is free to send, but the real cost is the hours of manual reading and tagging it forces downstream. An AI interview folds collection and analysis into one step.

A Worked Example: Migrating an Onboarding Feedback Form

Say your Google Form is a 7-question post-onboarding survey: a 1–5 satisfaction rating, a "what was confusing?" paragraph, three checkboxes about which steps they completed, an NPS linear scale, and name + email at the top. Here is the 20-minute migration:

  1. Name + email move to the intake form with a one-line consent notice.
  2. The 1–5 satisfaction becomes a scale question (scaleMin 1, scaleMax 5) with an anchor follow-up so anyone rating 1–3 is asked what specifically tripped them up.
  3. "What was confusing?" becomes an open_ended question with maxFollowUps set to 2 — the AI probes for the exact screen and moment, not just "the setup."
  4. The three checkboxes become a single multiple_choice question listing the onboarding steps.
  5. The NPS linear scale becomes a scale question (0–10) with its own anchor follow-up tailored to the band.

You publish one link, drop it into your onboarding completion email, and within a day the report shows your satisfaction distribution, your completion-step frequencies, and a themed breakdown of why onboarding confused people — with quotes. The Google Form would have given you a spreadsheet and a weekend of tagging.

Common Migration Mistakes to Avoid

  • Over-probing every question. Setting maxFollowUps to 3 everywhere makes the interview drag. Reserve deep probing for your two or three most important open questions; use 0–1 elsewhere.
  • Rewording questions during the migration. If you change the wording, you break comparability with your historical Google Forms data. Migrate first, optimize wording later.
  • Leaving identifiers in the conversation. Asking for an email mid-interview feels robotic — always move identity fields to the intake.
  • Recreating hard branching one-to-one. Trust the AI moderator's conversational branching and the screener instead of rebuilding every Google Forms "go to section" rule.

Related Resources