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

The Bottom Line

Microsoft Forms is the default survey tool for anyone inside Microsoft 365 — free, familiar, and one click from Excel. It is also built to collect a single static answer per question and stop. Even with Copilot drafting and summarizing your form, the medium is still a form: no follow-up, forward-only branching, and an Excel export you read by hand. Convert it 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 Microsoft Forms question 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 Microsoft Forms Hits a Ceiling

Microsoft Forms is excellent at intake — event RSVPs, IT tickets, quiz grading, employee pulse checks. It hits a ceiling the moment you want to understand why people answered the way they did:

• No follow-up. A respondent types "the new intranet is frustrating" and Forms records it verbatim. The follow-up that matters — which task is frustrating, and where did it break? — is never asked.
• Forward-only branching. Microsoft Forms branching can only jump to a later, consecutive question. You cannot loop back or run genuinely adaptive paths, so complex segmentation is clumsy.
• Copilot drafts; it does not converse. Copilot in Forms helps you write and summarize a form, but it cannot interview a respondent or probe an answer in real time. Analysis of open text still means opening Excel and tagging by hand.

The response ceilings are generous (up to 5,000,000 per form on business and education tenants; 200 on a free personal account, 1,000 on a paid one), but volume is not the problem. Depth is. An AI interview changes the medium.

Map Microsoft Forms Question Types to Koji

Koji has exactly 6 structured question types — open_ended, scale, single_choice, multiple_choice, ranking, and yes_no — and every Microsoft Forms question maps onto one of them:

The rule of thumb: quantitative questions stay quantitative so your dashboards keep charting, and every long-answer text box becomes a probed conversation.

The 7-Step Migration

1. Audit the form. List every Microsoft Forms question and label it quantitative or qualitative.
2. Move identity and date fields to intake. Name, email, department and consent are intake, not interview questions.
3. Recreate quantitative questions verbatim. Keep wording, option labels and rating ranges identical for data continuity.
4. Convert long-answer text to open_ended. These are the questions worth probing.
5. Set probing depth. Choose 0–3 follow-ups per open question; enable the anchor follow-up on scales so the AI asks "you rated it 3 — what would make it a 5?"
6. Pick a mode. Text (1 credit) for reach, or voice (3 credits) for candor and richer stories.
7. Publish and share the link. Distribute exactly as a Forms link — email, Teams, QR — but respondents now have a conversation.

What the AI Interview Adds

• Adaptive follow-up. Up to 3 AI follow-ups per open question, so "frustrating" becomes a specific, fixable moment.
• Voice or text. Voice surfaces the emotional texture that a text box flattens.
• Real-time themed analysis. Koji clusters open answers into themes with supporting quotes as responses arrive — no Excel export, no manual tagging.
• Quality-gated billing. Only conversations scoring 3 or higher consume a credit, so blank and low-effort responses never cost you.

For the full breakdown of the six question types, see the structured questions guide.

Keep Your Historical Microsoft Forms Data Comparable

You do not have to break your trend line. Because Koji's quantitative questions produce the same structured values — a number for a rating, an option string for a choice — your rating and choice distributions stay directly comparable to the Microsoft Forms Excel history, provided you keep the wording and ranges identical. You keep the trend and gain the reasons behind every score.

Common Migration Mistakes

• Porting a Likert grid row-for-row without trimming. Keep the rows that drive decisions; recover depth with AI follow-up rather than more rows.
• Recreating forward-only branching literally. Let the AI moderator branch conversationally instead of rebuilding rigid skip paths.
• Leaving name and email in the body. Move them to intake so the conversation opens on something the respondent cares about.
• Probing every question to depth 3. Reserve deep probing for the two or three questions where the "why" changes a decision.

A Worked Example

An internal comms team ran a Microsoft Forms employee-experience survey each quarter: eight Likert rows plus one comment box, exported to Excel and skimmed. Migrated to Koji, they kept three Likert rows as scale questions (verbatim, so the quarter-over-quarter numbers stayed comparable), dropped the rest, and converted the comment box to an open_ended voice question with two follow-ups. Completion rose because the survey was shorter, and the themed report surfaced the top driver of a dip in one score — a specific tooling change — with quotes, in a day rather than a week of tagging.

When Microsoft Forms Is Still the Right Tool

Keep Microsoft Forms for what it does best: internal, operational data capture inside your Microsoft 365 tenant. Event RSVPs, IT and facilities requests, quiz grading, and simple sign-ups are a perfect fit — the data is the answer, and there is nothing to probe. The line to watch is when a "form" is really research wearing a form's clothes: an employee-experience pulse, a product-feedback round, a post-training review. Those exist to change a decision, and a decision needs the reason behind the number. A common split works well here — leave the operational forms in Microsoft Forms where they sit one click from Excel, and migrate the handful of studies where understanding why is the whole point to Koji, so the themes arrive with the data instead of a week later.

Migration Checklist

• Questions labeled quantitative vs. qualitative
• Identity and date fields moved to intake
• Rating ranges and option labels copied verbatim
• Probing depth set per open question (0–3)
• Anchor follow-up enabled on key scales
• Mode chosen (text = 1 credit, voice = 3)

Related Resources

• Structured Questions Guide — the 6 question types and when to use each
• Convert a Google Forms Survey to an AI Interview
• Convert a SurveyMonkey Survey to an AI Interview
• Convert a Typeform Survey to an AI Interview
• From Survey to Conversation: The Complete Migration Guide
• AI Interviews vs. Surveys — why the medium matters