Koji vs Marvin (HeyMarvin): End-to-End AI Interviews vs. Analysis-Only Repository

TL;DR — Koji vs Marvin

The headline difference: Marvin (HeyMarvin) is a research repository and analysis layer. It transcribes, codes, and themes interview recordings you have already conducted. Koji is an AI moderator — it actually runs the interview, then analyzes it. The two tools are not direct substitutes; they sit at different points in the research workflow.

Pick Koji if you want to replace your moderator (and your survey tool, and your analysis pass) with one AI-native platform that can run an interview at 3 AM and have themed insights waiting in the morning.

Pick Marvin if you already conduct moderated interviews on Zoom or Google Meet and want a repository that ingests recordings, transcribes them, codes them, and lets you query across many studies. You will still need a moderator.

The combination: Some teams pair the two — run new interviews in Koji, archive everything in Marvin for cross-study repository search. But for most teams, Koji handles both jobs.

What Each Tool Actually Does

Marvin (HeyMarvin) at a Glance

Marvin is positioned as the "AI-native customer insights platform" — but more precisely, it is a qualitative data analysis tool and research repository. It connects to 20+ data sources (Pendo, Qualtrics, Google Forms, Zendesk, Intercom, plus PPTs, PDFs, phone recordings, in-person notes) and centralizes them in a searchable, shareable repository.

Core capabilities:

• Auto-transcription of uploaded audio/video recordings
• AI thematic analysis on transcripts (auto-tagging, theme extraction)
• "Deep Research" prompts for hypothesis testing and report generation across the repository
• Sentiment scoring on snippets
• Repository-wide search to find quotes and patterns
• 20+ integrations with feedback sources
• Free trial, then tiered pricing (Free, Team, Enterprise)

What Marvin does NOT do: Run the interview. There is no AI moderator that conducts a live conversation with a participant and asks adaptive follow-up questions. You still need a human researcher or another tool for the interview itself.

Best fit: Mature research teams that already conduct dozens of moderated interviews per quarter and need a single home for transcripts, notes, and feedback from across the organization.

Koji at a Glance

Koji is an end-to-end AI customer research platform. It designs the brief, runs the interview, analyzes the data, and writes the report — all with AI in the loop.

Core capabilities:

• AI-moderated voice and text interviews with adaptive follow-up probing
• All 6 structured question types (open_ended, scale, single_choice, multiple_choice, ranking, yes_no) inside one AI-moderated conversation
• AI Consultant that drafts the research brief and picks the methodology framework
• Methodology-aware probing (Mom Test, JTBD, Customer Discovery, Open Exploration, Lead Magnet)
• Real-time insights, themes, sentiment, and quality scoring
• Insights Chat — query your data conversationally
• Quality gate — only interviews scoring 3+ consume credits
• Multilingual research in 100+ languages
• Embed widget, headless API, MCP integration with Claude, webhooks
• CRM-aware personalized links and CSV import

Best fit: Founders, PMs, marketing, UX researchers, agencies, and any team that wants research to be a self-serve weekly habit rather than a quarterly project.

Pricing: Free tier (10 credits at signup). Insights plan €29/month (29 credits). Interviews plan €79/month (79 credits). Overage flat €1/credit. Voice = 3 credits, text = 1 credit, report refresh = 5 credits.

The Workflow Difference, Visualized

A typical user research project has roughly 7 stages:

1. Define the research question
2. Design the brief and methodology
3. Recruit participants
4. Conduct interviews
5. Transcribe and code
6. Synthesize themes
7. Write and share the report

The blank cell at row 4 for Marvin is the entire reason most teams that try Marvin still feel slow: the bottleneck in research is conducting the interview, not analyzing it. Marvin makes step 5–7 faster but does nothing for step 3–4. Koji collapses 3–7 into a single, mostly automated flow.

Side-by-Side Feature Matrix

Where Marvin Wins

1. Org-wide repository for many input sources. If your customer feedback comes from 6 different tools — Pendo surveys, Zendesk tickets, sales call recordings, NPS responses, in-person notes — Marvin centralizes all of it in one searchable place. This is genuinely useful for large product orgs.

2. Analyzing existing recording libraries. Got 200 historical Zoom recordings of customer interviews sitting in Google Drive? Marvin will ingest, transcribe, code, and theme them. It is purpose-built for this archive scenario.

3. Sales call ingestion. If you want to mine sales calls from Gong/Chorus for product insights, Marvin's pipeline handles it well.

4. Mature integration ecosystem. With 20+ integrations, Marvin slots into existing tooling stacks at large companies more cleanly than newer point solutions.

Where Koji Wins

1. Koji actually conducts the interview. This is the foundational difference. With Marvin, you still need a researcher to schedule, moderate, and record the call. With Koji, you send a link and the AI moderator runs the conversation 24/7 in the participant's preferred language. The biggest cost in research — researcher time — disappears.

2. Structured + open-ended questions in the same conversation. Koji is the only platform that supports all 6 structured question types inside an AI-moderated interview. You get an NPS distribution and the qualitative reasons behind every score from a single session. With Marvin, structured measurement requires a separate survey tool.

3. Methodology-aware AI moderation. Koji ships with built-in methodology frameworks (Mom Test, JTBD, Customer Discovery). The interviewer agent applies framework-specific anti-patterns — for example, refusing to ask hypothetical "Would you buy this?" questions in a Mom Test interview. Marvin has no analog because it does not conduct interviews.

4. Real-time insights, not batch analysis. As each Koji interview completes, the Insights Dashboard updates with new themes, quotes, and quality scores. You do not wait for a batch run. Marvin processes recordings on a delay.

5. Quality gate pricing. Koji's quality gate means low-quality conversations (drop-offs, gibberish, ghosters) cost nothing. You only pay for interviews that scored 3+ on the rubric. Marvin charges per processed transcript regardless of quality.

6. End-to-end speed. A typical workflow on Marvin: spend a day moderating, a day transcribing/uploading, a day coding/synthesizing. On Koji: spend 15 minutes designing the brief, send the link, and have a report draft ready by the next morning.

7. Self-serve, predictable pricing. Koji has public pricing starting at €29/month with a free tier. Marvin's pricing for paid tiers is request-based and varies by usage and seats — harder to estimate before talking to sales.

When You Might Use Both

Some teams use Marvin and Koji together rather than choosing:

• Run new interviews in Koji — automated voice/text moderation, real-time insights, structured questions
• Archive long-term in Marvin — unify Koji exports with Pendo, Zendesk, Gong, and historical recordings in one repository
• Use Marvin for cross-source repository search — when you need a single answer across years of feedback from many channels

This works, but it is overkill for most teams. If your only or primary research input is interview conversations, Koji on its own handles repository, search, and reporting (via Insights Chat and the Insights Dashboard) without needing a separate analysis layer.

Decision Framework

Pick Koji if any of these are true:

• You want one tool that does the interview AND the analysis
• You are a founder, PM, marketer, or small UX team
• You want to ship a research study in 15 minutes without a sales call
• You want structured + open-ended questions in the same conversation
• You want AI follow-up probing that adapts in real time
• Your research budget is under $20K/year
• Your participants are existing customers (CRM list)

Pick Marvin if any of these are true:

• You already have a robust moderated interview workflow you do not want to change
• Your primary need is centralizing feedback from many sources (Pendo, Zendesk, Gong, etc.)
• You have a backlog of 100+ historical recordings to mine for insights
• You have a dedicated research ops function managing the repository
• You need 20+ tool integrations more than you need a moderator

Pick both if you have a mature research program with both heavy interview throughput AND many other feedback sources to integrate.

Common Misconception: "Marvin is an AI Interview Platform"

You will see Marvin sometimes listed alongside Koji, Listen Labs, Strella, and Outset in "AI interview tools" comparisons. This is misleading. Marvin's AI is applied to post-hoc analysis of interviews you have already recorded. The "interview" itself still happens between a human researcher and a human participant on Zoom.

True AI interview platforms — like Koji, Listen Labs, Strella, and Outset — replace the human moderator with an AI agent that runs the live conversation. If you want to remove the bottleneck of researcher time and scheduling, you need a true moderator, not a repository.

Pricing Comparison

Koji's pricing is predictable: you can model exactly what 50 voice interviews per month costs (50 × 3 × €1 = €150 in overage, on top of your €29 base). Marvin's effective cost per interview depends on what plan you land on after the sales conversation.

Migration: From Marvin-Only to Koji

If you already use Marvin and want to add a true AI moderator:

1. Run new interviews in Koji. Use the AI Consultant to design the brief, then share the interview link.
2. Export Koji transcripts. Use export to pull CSV or JSON.
3. Upload to Marvin if you want repository-wide cross-source search.
4. Or, stay in Koji for analysis. Insights Chat, the Insights Dashboard, and the Themes & Patterns view cover most of what teams use Marvin for, without leaving the platform.

Most teams that adopt Koji find they no longer need a separate analysis tool for interview data — Insights Chat queries the entire study repository conversationally, and Themes & Patterns auto-clusters across all completed interviews.

The Bottom Line

Koji and Marvin both have AI in the name, but they solve different halves of the research problem. Marvin is excellent at analyzing the conversations a human team has already had. Koji is excellent at having the conversations in the first place — and it analyzes them too.

If you are spending most of your research budget on researcher time, scheduling, and moderating — which most teams are — then a true AI moderator like Koji is the higher-leverage bet. If your bottleneck is making sense of feedback from many channels you do not control, Marvin is the better single purchase.

For most teams, replacing the human moderator with an AI agent is the bigger unlock. That is what Koji does.

Try Koji free — design and ship your first AI-moderated study in 15 minutes.

Related Resources

• Best AI Interview Software in 2026
• Structured Questions in AI Interviews
• How AI Follow-Up Probing Works
• Koji vs Dovetail — End-to-End vs Analysis-Only
• Koji vs Listen Labs
• AI Note-Taker for User Interviews
• How to Build a UX Research Repository