How to Convert an Alchemer Survey to an AI Interview (2026)

Converting an Alchemer survey into a Koji AI interview takes about 20 minutes: map each Alchemer question to one of Koji’s six structured question types, move contact fields to the intake form, switch on AI follow-up probing, and publish one interview link. You keep the quantitative rigor Alchemer is known for — NPS, sliders, ranking grids, star matrices — and add what a survey can’t: an AI moderator that asks “why?” in the respondent’s own words and themes every open answer automatically.

Why convert an Alchemer survey to an AI interview?

Alchemer (formerly SurveyGizmo) is a powerful survey platform with one of the deepest question-type libraries on the market. But depth of question type doesn’t solve the core limitation of any survey: it records the answer and stops. A respondent gives your NPS a 6 and the survey logs “6” — the reason, the story, the fixable friction all go unrecorded. That reason is almost always what the study was for.

A platform like Koji closes that gap without a moderator. Each question you migrate can carry up to three AI-generated follow-ups, so a detractor NPS score triggers an instant, conversational “What’s the main reason for that score?” — captured, transcribed, and thematically coded automatically across every respondent. Koji’s AI runs that probing at the scale of a survey, which is why teams describe the switch as replacing days of open-text coding with a report that’s ready the moment interviews close.

Three capabilities matter most when you move beyond a static Alchemer survey:

• AI follow-up probing turns every open question into a real conversation instead of a one-line fragment.
• Voice or text lets respondents speak or type from one link, on any device.
• Real-time themed analysis clusters open answers into named themes with supporting quotes, so you read insight instead of raw response rows.

Map every Alchemer question type to one of Koji’s 6 types

Koji interviews are built from six structured question types: open_ended, scale, single_choice, multiple_choice, ranking, and yes_no. Alchemer’s large library collapses neatly onto them.

Any Alchemer grid — a Star Rating Grid, Slider List, or classic Matrix where respondents rate several rows on one scale — becomes one Koji scale question per row. That looks like more questions, but each row is now a conversation the AI can probe, so instead of a silent grid you get a rating and its reason.

Move identity fields to the intake form

Alchemer Contact Form fields and any name, email, or phone questions used to identify respondents move out of the flow and into Koji’s intake form, which runs before the interview starts. The conversation stays focused on insight, and every transcript still links to a known participant for segmentation.

Add what Alchemer can’t

With questions mapped, switch on the capabilities a survey doesn’t have:

• AI follow-up depth. Set 0 follow-ups for a fast quantitative item, or up to 3 where reasoning matters most.
• Scale anchors. On any scale — including migrated NPS — enable the anchor follow-up so the AI asks “You said 6 — what would make it a 9 or 10?” automatically.
• Voice or text mode. Voice interviews cost 3 credits and text 1 credit, both from one link.
• Automatic themes. As responses arrive, Koji codes open answers into themes with representative quotes and charts every scale and choice question — no export, no manual coding.

Alchemer to Koji in 5 steps

1. Inventory your survey. Note each Alchemer question’s type, text, and options.
2. Rebuild in Koji. Map each question with the table above; keep wording identical so historical trends stay comparable.
3. Set probing depth. Choose 0–3 follow-ups per question and enable anchors on NPS and key scales.
4. Move contact fields to intake and choose voice, text, or respondent’s choice.
5. Publish and share the link wherever the Alchemer survey lived — email, panel, or embed. Insights populate live.

Pricing: Alchemer vs Koji

Alchemer licenses are priced per user and, billed annually, generally run from around $55/user/month at the entry Collaborator tier into the hundreds per user for the Professional and Full Access tiers, with dedicated Market Research and Enterprise plans quoted custom. Like any survey tool, that buys collection — coding the open-text answers is a separate cost in analyst time.

Koji folds collection and analysis into one step. Insights is €29/month (29 credits) and Interviews is €79/month (79 credits), with annual billing giving two months free. Text interviews cost 1 credit, voice 3, and a report refresh 5 — and only conversations scoring 3 or higher consume a credit, so blank, joke, or bot responses are free. New accounts get 10 one-time credits to trial a full migration before paying.

When to keep Alchemer

Be honest about fit. Keep Alchemer for large-sample quantitative work where statistical precision and specialized formats are the point — conjoint, MaxDiff, and tightly controlled panel studies. Reach for a Koji AI interview whenever the goal is understanding — the NPS follow-up, the churn diagnosis, the concept test, the “why behind the number.” Many research teams run both: Alchemer for the numbers, Koji for the reasons.

Migration checklist

• Questions mapped to the six Koji types, wording preserved
• Grids and matrices split into one scale question per row
• NPS migrated as a 0–10 scale with an anchor follow-up
• Contact fields moved to the intake form
• Voice/text mode chosen and the link tested with your 10 free credits

A worked example: an Alchemer NPS relationship survey

Imagine a quarterly Alchemer NPS study with one NPS question, a Radio Buttons question for primary role, and an Essay box for open feedback. Migrated to Koji, NPS becomes a 0–10 scale with an anchor follow-up, the role question becomes a single_choice, and the Essay becomes an open_ended with three follow-ups. A passive who scores 7 is immediately asked what would move them to a 9 — and the answer is coded automatically. When the wave closes, Koji has clustered detractor reasons into themes such as “slow support response” and “missing integration,” each with supporting quotes and an NPS breakdown by role. Alchemer would have given you the score and a spreadsheet of verbatims to code by hand.

Related Resources

• The Complete Guide to Koji Structured Questions
• AI Interviews vs. Surveys: Which Should You Use?
• The NPS Survey Guide
• How to Convert a Qualtrics Survey to an AI Interview
• How to Convert a SurveyMonkey Survey to an AI Interview
• How to Convert a Wufoo Form to an AI Interview