Koji vs Marvin: Full-Stack AI Research vs Analysis Repository (2026)

Koji and Marvin both have "AI research" in their positioning — but they sit at very different points in the research workflow. Marvin is an AI-powered research repository built to organize and analyze data you've already collected. Koji is an end-to-end research platform that conducts AI-moderated interviews and synthesizes findings automatically. If you need a place to store and tag existing research, Marvin is worth evaluating. If you want to run new research without a human moderator and get structured insights without manual analysis, Koji does that job.

Quick Comparison

| Feature | Koji | Marvin | |---------|------|--------| | AI-moderated interviews (voice + text) | ✅ Core product | ⚠️ Newer add-on feature | | Research repository / data storage | ❌ Not a repository | ✅ Core product | | Automatic thematic analysis | ✅ Across all interviews | ✅ Cross-project AI analysis | | Study design / research brief | ✅ AI-guided | ❌ Not included | | Participant-facing async interface | ✅ Any device, any time | ❌ Requires bringing recordings | | Import external recordings/transcripts | ❌ | ✅ 30+ integrations | | One-click aggregate reports | ✅ | ✅ | | CRM / support tool integrations | ❌ | ✅ Zendesk, Salesforce, Slack | | 40+ language transcription | ❌ | ✅ | | Participant recruitment | ❌ (bring your own) | ❌ (bring your own) | | HIPAA / SOC2 compliance | ✅ | ✅ | | Transparent pricing | ✅ From €99/month | ❌ Contact sales |

The Core Difference: Run New Research vs. Analyze Existing Data

Marvin was built to solve a specific problem: qualitative data is scattered everywhere — in Notion docs, Zoom recordings, Salesforce calls, Zendesk tickets, Slack threads — and there's no single place to find what customers have said about a topic. Marvin ingests all of it, auto-tags and categorizes it, and lets you search and query across your entire research archive.

Koji solves a different problem: you need structured research insights but don't have time to schedule, moderate, and manually analyze interviews. Koji runs AI-moderated voice and text interviews with your participants, then synthesizes findings into a structured report — without any human moderation, manual coding, or synthesis work.

The practical implication: Marvin is downstream research infrastructure. Koji is upstream research execution. They're not really competing products — they're tools for different points in the research lifecycle.

Where Marvin Shines

The Research Repository

If your organization has years of research data spread across Zoom recordings, Google Drive docs, Notion pages, Salesforce notes, and Zendesk tickets — Marvin is excellent at consolidating it. With 30+ native integrations, it can ingest the full breadth of customer conversation data your organization already has.

The cross-project analysis feature is genuinely powerful for organizations with large research archives: Marvin can surface themes and quote evidence across multiple studies simultaneously, helping you see patterns you'd miss by reading projects individually.

AI Analysis for Existing Qualitative Data

Marvin's "Deep Research" mode and "Ask AI" feature let you query your research library conversationally. You can ask "what did enterprise customers say about the onboarding process?" and get an answer with citations from source transcripts — a meaningful time-saver for research leads who need to surface evidence quickly without re-reading everything.

The 40-language transcription support is a genuine advantage for global organizations conducting multilingual research programs.

Organizational Knowledge Infrastructure

For research teams at larger companies, Marvin functions as organizational memory: a place where insights don't disappear when a researcher leaves, where stakeholders can self-serve without filing a research request, and where patterns accumulate over time. This is genuinely hard to replicate with general-purpose tools like Notion or Confluence.

Where Koji Shines

Running Research You Couldn't Otherwise Run

According to the 2025 State of User Research report, 80% of UX researchers now use AI tools — but researcher time remains the primary constraint. Demand for research increased for 66% of teams while junior headcount declined, meaning researchers are being asked to do significantly more with fewer people.

Koji addresses this directly. A researcher using Koji can run a 30-participant study in the time it used to take to schedule five moderated sessions. Koji's AI interviewer conducts every conversation autonomously — asking follow-up questions based on participant responses, probing unexpected threads, and maintaining conversational depth without the moderator's schedule as a bottleneck.

No Recordings Required

Marvin is fundamentally a tool for data you already have — you bring the recordings, transcripts, or documents, and Marvin analyzes them. Koji generates that data from scratch. You share a link with participants, they complete an AI-moderated voice or text interview on their own time, and the findings arrive already synthesized.

For teams that don't have a backlog of recorded interviews to analyze, or who need research on a new question not covered in their archive, Koji is the starting point — not Marvin.

Structured Research Design

Koji begins every study with a research brief. You define your goals, hypotheses, and target participant profile. Koji's AI consultant helps you design the interview structure — what to explore, how to probe, what follow-up directions to prepare for. This methodological rigor upstream produces cleaner, more actionable findings downstream.

Marvin has no study design layer. It assumes you're bringing in data from studies that were already designed and conducted elsewhere.

Eliminating Moderator Bias

Human moderators, however skilled, introduce variability into sessions — through tone, follow-up patterns, and inadvertent leading questions. Koji's AI conducts every interview with identical structure and consistent probing, ensuring your findings reflect what participants actually think rather than artifacts of moderation variation.

Transparent Pricing

Koji's pricing starts at €99/month for the full platform — AI interviewer, study design, analysis, and reports included. Marvin's pricing requires contacting sales; multiple G2 reviewers describe it as "quite expensive compared to competitors." For teams that need to build a business case for research tooling, pricing transparency matters.

A Note on Marvin's AI Interviewer

Marvin recently added an AI Moderated Interviewer feature, which moves it partially into Koji's territory. This is worth acknowledging: Marvin can now conduct AI-moderated interviews, not just analyze existing data.

The distinction is about depth and primary use case. Koji was purpose-built as an interview platform — adaptive probing, voice-native interaction, research brief design, and thematic synthesis are all first-class features. Marvin's AI interviewer is a newer addition to what remains primarily a repository product. Reviews of Marvin also note AI accuracy concerns and hallucination risk on thin datasets — a critical issue when the AI's output is a research deliverable that informs product decisions.

For teams whose primary need is conducting structured AI interviews, Koji is the more mature and purpose-built choice.

When to Choose Marvin

• You have a large existing library of qualitative research data (recordings, transcripts, support tickets)
• Your primary need is organizational memory — making past research findable and queryable
• You have diverse data sources (support calls, sales calls, user interviews) that need to be integrated
• You're building research operations infrastructure at a large organization
• Cross-project analysis across existing studies is your highest-priority capability

When to Choose Koji

• You need to run new research, not just analyze existing data
• You want AI-moderated interviews as the primary value, not a secondary add-on
• You need insights from 20+ participants without scheduling 20+ calls
• You want a structured research report as the output, not a queryable database
• You're a small-to-medium research team that needs research ROI, not just research storage

When You Might Use Both

The most sophisticated research teams eventually need both: Koji to generate new insights efficiently at the front end of every project, and a repository tool to accumulate and search organizational knowledge over time. For teams starting from scratch, Koji provides the fastest path to actionable research insights without scheduling overhead.

The Bottom Line

Marvin answers the question: "What do we already know?" Koji answers the question: "What do we need to find out?"

If your most urgent problem is running user research faster and more efficiently — conducting quality interviews without burning researcher time on scheduling and moderation — Koji is the right starting point. If your most urgent problem is that valuable research is scattered across 12 different tools and no one can find it, Marvin addresses that specific pain.

The good news: they solve different problems well enough that there's rarely a direct trade-off between them.

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Last verified: April 2026. Competitor features and pricing are subject to change.

Run Your Next Study in Hours, Not Weeks

Koji's AI interviewer conducts voice and text interviews with your participants automatically, then synthesizes findings into a structured report. No moderation, no scheduling, no manual analysis. Try Koji free.

Frequently Asked Questions

Does Marvin replace Koji, or do they work together? They solve different problems. Marvin is a research repository for organizing and querying data you've already collected. Koji generates new research data through AI-moderated interviews. Many teams could use both: Koji to run studies, and a repository like Marvin or Dovetail to accumulate institutional knowledge over time.

Marvin now has an AI interviewer — is it the same as Koji's? Marvin recently added an AI Moderated Interviewer as a newer feature. Koji was built from the ground up as an interview platform — adaptive probing, voice-native interaction, and research brief design are all core, mature capabilities. For teams whose primary need is conducting structured AI interviews, Koji is the more purpose-built platform.

Can Koji replace Marvin as a research repository? No. Koji is not designed as a repository. It excels at running individual studies and generating reports, but doesn't function as a cross-study, cross-project data archive. For large volumes of historical research, a dedicated repository like Marvin or Dovetail provides capabilities Koji doesn't.

Which tool is better for startups doing customer discovery? Koji. Startups typically need to generate new insights fast — they don't have years of accumulated research to organize. Koji's AI-moderated interviews can run a discovery study with 15 participants in 48 hours, giving founders and product teams actionable insight before making expensive product decisions.

Is Marvin or Koji more affordable? Koji's pricing starts at €99/month and is publicly listed. Marvin's pricing requires contacting sales, and reviewers frequently cite cost as a concern. For smaller teams, Koji's transparent pricing and all-in-one workflow is typically more accessible.