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Research9 min read

Koji vs Insight7: AI Customer Research Platforms Compared (2026)

Insight7 analyzes recorded calls. Koji runs the interviews itself — AI-moderated voice conversations from €29/month. Compare features, pricing, and which fits your team in 2026.

Koji Team

May 7, 2026

Koji vs Insight7: The 2026 Guide to AI Customer Research Platforms

TL;DR: Insight7 analyzes call recordings after they happen. Koji runs the interviews itself — AI-moderated voice conversations with structured questions, automatic thematic analysis, and one-click reports — starting at €29/month. If your bottleneck is getting customer data (not just analyzing what you already have), Koji is the more complete platform.

The "AI customer research" category has split into two camps in 2026. One camp — typified by Insight7 — sits after the interview and uses AI to process recordings. The other — Koji, Listen Labs, Strella — uses AI to run the interview itself, removing the human moderator entirely.

This guide compares the two side-by-side: what each does well, where each falls short, and which fits your team.

Quick comparison table

| Feature | Koji | Insight7 | |---|---|---| | AI runs interview live | Yes (voice + text) | No (analyzes recorded calls) | | Structured questions | 6 types (open-ended, scale, single/multi-choice, ranking, yes/no) | Survey logic not core | | Voice interviews | ElevenLabs-powered, real-time follow-ups | Imports Zoom/Meet/Teams recordings | | Recruits participants for you | Built-in panel + share link | You bring the calls | | Automatic thematic analysis | One-click | One-click | | Starting price | €29/month (29 credits) | $19/month (10 analyses) | | Free tier | 10 credits at signup | Free trial only | | Setup time to first study | ~15 minutes | Depends on call inventory | | Best for | Founders, PMs, researchers who need new customer data | CS/Sales QA teams analyzing existing calls |

The fundamental difference: collection vs analysis

Insight7 is, at its core, a call analytics tool. The product imports recordings from Zoom, Google Meet, and Microsoft Teams, transcribes them, and uses AI to surface themes, risks, and coaching opportunities. It is powerful — but it assumes you already have the calls.

Koji starts one step earlier. The platform''s AI-moderated interview engine actually conducts the conversation. A respondent clicks a link, speaks (or types) with an AI moderator powered by ElevenLabs voice, and the AI asks follow-up questions in real time based on what they say. Koji handles recruitment, scheduling, moderation, transcription, analysis, and reporting in a single workflow.

If you put both products on a customer research timeline, they sit in different places:

  • Insight7 = transcribe → analyze → report
  • Koji = recruit → moderate → transcribe → analyze → report

That extra "moderate" step is where most research-team operational pain lives. Industry research consistently shows that scheduling and conducting interviews accounts for the majority of research project time — and acquiring new customers can cost 5-25x more than retaining one, making the speed of churn-reason discovery a direct revenue lever.

Pricing: side-by-side

Insight7 (2026 published pricing):

  • Starter: $19/month — 1 user, 10 call analyses, 1 project, English-only transcription
  • Pro: $99/month — 50 analyses, 4 projects, 60+ language transcription
  • Business: $299/month — 3 users, 200 analyses, 10 projects, PII/PHI redaction

Koji (2026):

  • Free: 10 credits at signup, no card required
  • Insights: €29/month — 29 credits (≈9 voice interviews or 29 text chats)
  • Interviews: €79/month — 79 credits (≈26 voice interviews)
  • Enterprise: 500+ credits, custom pricing
  • Overage: flat €1/credit on every plan

Koji''s credit model charges 3 credits per voice interview and 1 credit per text chat. Insight7''s model charges per analysis of an existing call — meaning the interview itself is free to Insight7, but you have already paid for the moderator''s time, recruiting, and scheduling elsewhere. Once you factor in those external costs, Koji''s all-in price is typically lower, especially for teams without an in-house research function.

Feature comparison

Live AI moderation (Koji''s biggest advantage)

Koji''s voice interview is a real conversation. The AI listens, interprets, and probes — "You mentioned the export feature was confusing. Can you tell me what specifically tripped you up?" — without a human in the loop. The same study supports text-mode interviews for participants who prefer typing, and runs 24/7 with no scheduling.

Insight7 does not run interviews. You record calls separately (using Zoom, Gong, Otter, or a moderator on your team), then upload them. If you do not have calls, Insight7 has nothing to analyze.

Structured questions

Koji supports six structured question types inside the same conversation: open-ended, scale, single-choice, multi-choice, ranking, and yes/no. The AI moderator weaves them in mid-conversation, so a single Koji study can blend NPS scores, feature ranking, and qualitative depth in one session. This is something neither traditional surveys (Typeform, SurveyMonkey) nor pure conversation tools can do.

Insight7 does not run surveys, so this category does not apply.

Analysis and reports

Both platforms produce one-click reports. Koji''s report generator clusters every interview into themes, surfaces verbatim quotes, and produces an executive summary you can paste into a deck. Insight7''s report focuses on call patterns, coaching tips, and risk flags across many calls.

For a researcher running 30 customer discovery sessions, Koji''s report is more useful (it answers "what did people say about pricing?"). For a CS leader QA-ing 500 support calls, Insight7''s report is more useful (it answers "which agents are flagging compliance risks?").

Recruitment

Koji ships with a built-in participant recruitment workflow: generate a share link, distribute via email or community, and the AI handles the rest. Optional integrations with User Interviews and Respondent are supported for specialized panels.

Insight7 has no recruitment layer. You source calls however you already source them.

Use cases: which tool fits which problem?

Choose Koji if you need to:

  • Run customer discovery interviews for a new product (founders, PMs)
  • Validate a feature with 30+ customers in under a week
  • Replace static surveys with conversational research
  • Run ongoing voice-of-customer programs with no research team
  • Conduct exit interviews to understand churn at scale

Choose Insight7 if you need to:

  • Analyze hundreds of recorded sales or support calls per month
  • QA agent performance and compliance across a CS team
  • Extract themes from existing call libraries you already own

The two tools are not strictly competitors — they are adjacent. Many teams use both: Koji to generate fresh customer conversations, Insight7 (or Gong, Avoma) to mine existing rep-led calls.

Why teams switch from Insight7 to Koji

The most common migration we see: a PM or founder buys Insight7, realizes the bottleneck was not analysis but actually getting customers on calls, and replaces it with Koji. A 2024 survey by First Round Capital found that fewer than 1 in 5 startup PMs talk to 5+ customers per week — not because they do not want to, but because scheduling friction kills the cadence. Koji''s always-on share link removes that friction entirely.

Three concrete advantages teams report after switching:

  1. No scheduling overhead. A Koji study is a link. The respondent self-serves whenever they want, day or night.
  2. Structured + qualitative in one study. Koji''s six question types let you replace a Typeform survey and a Calendly call with a single 12-minute interview.
  3. Zero analysis bias. Both platforms reduce moderator bias, but Koji eliminates it entirely on the collection side. Insight7 still inherits the bias of whoever ran the original call.

Try Koji free

Sign up at koji.so and you get 10 free credits — enough to run 3 voice interviews or 10 text chats with no card on file. Most teams are running their first study within 15 minutes. If your research bottleneck is getting the data rather than processing what you already have, Koji is the modern, AI-native answer.

Make talking to users a habit, not a hurdle.