Koji vs Remesh: AI Interviews vs AI Focus Groups — Which Research Method Wins? (2026)
Remesh runs AI-powered live focus groups with up to 1,000 participants. Koji runs async AI interviews with zero groupthink. Here is the full comparison of methodology, pricing, and when each wins.
Koji Team
April 22, 2026
Koji vs Remesh: AI Interviews vs AI Focus Groups — Which Research Method Wins? (2026)
The bottom line: Remesh and Koji both use AI to make qualitative research faster and more scalable — but they take fundamentally different approaches. Remesh is built around live focus groups at scale. Koji is built around async one-on-one interviews that eliminate groupthink. The right choice depends on what you're trying to learn and how you need to learn it.
Two AI Research Platforms. Two Different Philosophies.
Both platforms emerged from the same insight: qualitative research is too slow, too expensive, and too dependent on skilled moderators to scale effectively. Both use AI to change that. But the methodological choice they made is significant.
Remesh digitizes and AI-augments the focus group. Many people gather simultaneously, respond in parallel, and Remesh's AI synthesizes themes and sentiment patterns in real-time as the session unfolds.
Koji replaces the group format entirely. An AI consultant conducts individual one-on-one interviews asynchronously. No one waits for a scheduled session. No one's opinion is shaped by what someone else just said. Each participant responds candidly, in their own time.
This isn't just a product difference — it's a research design philosophy. And it matters for data quality.
What Remesh Does
Remesh enables live online focus groups with up to 1,000 participants simultaneously. A human moderator leads the session while Remesh's AI instantly categorizes responses, surfaces sentiment patterns, and shows emerging themes as they appear.
Remesh Research Formats
- Live — Real-time sessions where all participants respond simultaneously, with moderator pivots based on real-time AI analysis
- Flex — Asynchronous format for participants across time zones
- Video — Live sessions with face-to-face nuance for richer qualitative capture
What Remesh Does Well
- Enables real-time deliberation across large groups
- Surfaces consensus and dissent simultaneously — useful for executive-level concept testing where stakeholders want to see "live" data
- Shows moderators emerging themes during the session so they can adapt in real-time
- Supports 35+ languages for global research programs
- Delivers recruitment support for live sessions with hundreds of vetted participants in under 24 hours
- Provides an embedded AI research partner (Remy) for in-session question suggestions
Remesh Pricing
Remesh uses custom enterprise pricing with no publicly listed tiers. It is widely described as better suited to medium and large research organizations with significant budgets. Most teams report per-study costs in the thousands. Remesh is not designed for teams running continuous lightweight research.
What Koji Does
Koji conducts async AI-moderated interviews — one-on-one conversations between your study's AI consultant and individual participants. There is no live session to schedule, no moderator to brief, and no window when participants need to be available simultaneously.
How Koji Works
- Set up a study: define research objectives, write your questions using Koji's 6 question types, and configure the AI consultant's tone and probing depth
- Share a link with participants (via email, CRM, in-product embed, or custom URL)
- Participants complete the interview at their own pace — via voice or text chat
- Koji automatically analyzes all responses, identifies themes, extracts representative quotes, and generates a shareable report
Koji's 6 Structured Question Types
Every Koji study supports a mix of qualitative and quantitative questions:
- Open-ended — free qualitative exploration with adaptive AI follow-up (1–3 probing depth levels)
- Scale — NPS, CSAT, or custom rating scales with distribution charts
- Single choice — pick-one with frequency bar charts
- Multiple choice — multi-select with stacked frequency analysis
- Ranking — preference ordering with average position scores
- Yes/No — binary questions with aggregate visualization
Koji Pricing
- Free — 10 starter credits (no credit card required)
- Insights — €29/month (29 credits, up to 5 studies, theme detection, report generation, CSV export)
- Interviews — €79/month (79 credits, unlimited studies, voice interviews, API access, webhooks, CRM import)
- Enterprise — Custom pricing for large teams
The Core Tradeoff: Focus Groups vs. One-on-One Interviews
The Koji vs. Remesh comparison is fundamentally about research methodology, not just platform features.
The Well-Documented Problems with Focus Groups
Focus groups have been the dominant qualitative research format for decades. They're also one of the most thoroughly critiqued:
Groupthink. When one confident participant expresses a strong opinion, others often follow. This is especially pronounced with social norms, sensitive behaviors, or when minority viewpoints feel risky to voice publicly. The group dynamic reliably suppresses dissenting opinion.
Social desirability bias. Participants in groups are more reluctant to share sensitive opinions — concerns about being judged, embarrassment about certain behaviors, or simply not wanting to publicly disagree. Research comparing individual interviews and focus groups found that sensitive topics emerged far more frequently in individual interview settings than in group discussions — including topics related to economic hardship, stigmatized behaviors, and unpopular views.
Moderator dependency. Focus group quality depends heavily on moderator skill. An inexperienced or biased moderator can lead participants toward specific answers, invalidating the research. Even Remesh's AI-enhanced format requires a skilled human moderator to run the live session effectively.
Scheduling complexity. Synchronous research requires coordinating dozens to hundreds of participants to be available simultaneously. This is logistically expensive, time-consuming, and limits your recruiting pool to people with flexible schedules during specific windows.
Small effective sample. Despite large group sizes, the most vocal participants disproportionately shape outcomes. A live session with 200 participants often produces insights that are really reflections of 15–20 dominant voices.
The Structural Advantages of Async AI Interviews
No groupthink. Every participant is interviewed individually by Koji's AI. There is no group pressure, no social dynamics, and no one else's opinion to conform to. Each response is genuinely that participant's unmediated view.
More candid disclosures. Research consistently shows individual interviews produce more candid responses on sensitive topics. Participants in one-on-one settings share opinions they would not express in a group — even when that group is anonymous and online.
No moderator variance. Koji's AI asks every participant in exactly the same way. There is no risk of interviewer effect, no variation based on who is running the session, and no inconsistency from moderator fatigue or bias.
Radically simpler logistics. Participants complete Koji interviews when it is convenient for them. This expands the recruiting pool dramatically, removes coordination overhead, and allows research to run continuously without event-style scheduling.
Lower cost barrier. Koji starts at €29/month. Remesh's enterprise pricing makes it inaccessible for startups, small product teams, and researchers running regular lightweight studies.
When Remesh Wins
Remesh is the better choice when:
You need live deliberation. If your research requires observing how participants debate, change their minds, or converge on consensus in real-time, a live format has unique value. Concept testing where executive stakeholders want to see live audience dynamics can benefit from Remesh's format.
You are running large-scale brand or policy research. Remesh is built for research organizations running enterprise-scale studies where 500+ simultaneous participants is the research goal.
You have the budget. If you are a large research firm or enterprise team with tens of thousands allocated to a single study, Remesh's live scale is worth the investment.
You have a trained moderator on staff. Remesh amplifies a skilled moderator's capabilities. Without an experienced researcher running the live session, much of the platform's value is lost.
When Koji Wins
Koji is the better choice when:
You need honest, unfiltered individual responses. For churn research, pricing research, or any topic where social desirability might suppress candor, async one-on-one interviews produce more accurate data than group settings.
You want async participation. Global teams, B2B customers with demanding schedules, and professionals who cannot join live sessions all participate more easily in Koji's async format.
You are a startup or SMB. Koji's pricing starts at €29/month — accessible without an enterprise research budget, and without per-study fees.
You need continuous discovery. Running 10–20 interviews every sprint requires infrastructure that fits into a product team's workflow, not a one-time live event.
You need AI moderation without a human moderator. Koji's AI conducts the interview end-to-end. This eliminates moderator dependency and scales research to teams that do not have dedicated researchers.
You want automatic reports. Koji generates research reports automatically after interviews complete — with themes, quotes, and aggregated data — ready to share with stakeholders without manual synthesis work.
The 2026 Research Reality
In 2026, 83% of market research professionals report their organizations plan to invest in AI for research activities. The AI market is growing at 26.6% CAGR. But the question is not whether to use AI in research — it is which AI research model fits your objectives and budget.
The pattern is clear: teams are shifting from episodic large-format research events toward continuous, lightweight, always-on research programs. That shift fundamentally favors async interview formats over live focus groups.
Remesh is excellent for the enterprise research event. Koji is built for the modern product team running research as a continuous habit.
Feature Comparison
| Feature | Koji | Remesh | |---------|------|--------| | Async participation | ✅ Yes | ⚠️ Flex format only | | No groupthink bias | ✅ Yes | ❌ Group dynamics present | | Voice interviews | ✅ Yes | ❌ Text-based | | No human moderator required | ✅ Yes | ❌ Requires moderator | | Automatic research reports | ✅ Yes | ⚠️ Manual synthesis required | | Transparent starting price | ✅ €29/month | ❌ Custom enterprise only | | Continuous research workflow | ✅ Yes | ❌ Event-based format | | Best for | Discovery, churn, win/loss, continuous research | Large-scale live concept testing, brand research |
Getting Started with Koji
Koji's free tier gives you 10 starter credits — enough to run your first AI-moderated interview and compare the analysis quality firsthand to any manual process.
Learn more about how Koji's async interview model works, voice vs. text interview modalities, and how automatic thematic analysis works.