Koji vs. Great Question — Fully Automated AI Interviews vs. Research Management
Great Question manages the logistics of human-moderated research. Koji replaces the human moderator entirely with AI that conducts, probes, and analyzes interviews automatically. Compare automation depth, speed, and cost.
The Short Answer
Great Question is a research operations platform that helps you recruit participants, schedule sessions, manage incentives, and organize research studies. It recently added AI-moderated interviews, but its core strength remains research logistics management. Koji is AI-native from the ground up — the entire platform is built around AI conducting interviews, analyzing conversations, and generating insights without human moderation.
The Core Difference
Great Question streamlines the logistics of research — scheduling, recruiting, incentives, panel management. Koji automates the research itself — AI conducts interviews, follows up, analyzes, and reports.
Great Question makes it easier for a human researcher to do their job. Koji does much of the researcher's job for them.
Feature Comparison
| Capability | Great Question | Koji |
|---|---|---|
| Participant recruitment | ✅ Built-in panel + custom | BYO + CSV import |
| Scheduling | ✅ Calendly-like booking | Not needed (async interviews) |
| Incentive management | ✅ Automated payments | External |
| Human-moderated interviews | ✅ Video call integration | Not needed (AI moderates) |
| AI-moderated interviews | ✅ Recently added | ✅ Core feature — built from day one |
| Interview depth | Depends on moderator skill | Consistent AI with methodology guardrails |
| Voice interviews | ✅ (video calls) | ✅ AI voice conversations |
| Follow-up probing | Depends on moderator | ✅ Automatic, every time |
| Automated analysis | ✅ Basic AI analysis | ✅ Deep themes, insights, sentiment, reports |
| Research reports | ✅ | ✅ Auto-generated, shareable |
| Methodology support | ❌ | ✅ Mom Test, JTBD, Discovery |
| Survey capabilities | ✅ Basic surveys | ✅ AI interviews replace surveys |
| API | ✅ | ✅ Full REST API + headless |
| Claude MCP | ❌ | ✅ Full MCP integration |
Why Teams Choose Koji
1. AI-Native vs. AI-Added
Great Question was built as a research operations platform and later added AI moderation as a feature. Koji was built from the ground up around AI interviews — every aspect of the platform is designed for AI-conducted research: the research brief system, the methodology guardrails, the quality scoring, and the automated analysis pipeline.
This matters because AI-native design produces fundamentally different (and better) AI interviews. The AI is not bolted onto a scheduling tool — it is the core of the experience.
2. No Scheduling Required
Great Question's participant scheduling is genuinely excellent — calendar integration, automated reminders, no-show management. But with Koji, you do not need scheduling at all. Participants click your interview link whenever it is convenient for them — 2 AM, during lunch, between meetings. The AI is always available.
This eliminates the biggest friction point in qualitative research: coordinating calendars between researchers and participants. Async AI interviews also mean you can run interviews across every time zone simultaneously.
3. Consistent Quality at Scale
Human moderators — even great ones — vary. Their fifth interview of the day is less sharp than their first. They miss follow-up opportunities. They unconsciously lead certain participants. Each respondent gets a slightly different experience.
Koji's AI interviewer delivers the same quality on interview #1 and interview #100. It follows bias prevention guardrails on every question, probes with equal depth on every interesting response, and applies the selected methodology consistently.
4. Speed to Insight
A typical Great Question workflow:
- Set up study, recruit participants: 2-5 days
- Schedule sessions: 1-3 days
- Conduct interviews (1 hour each, researcher present): 3-5 days
- Transcribe and analyze: 2-5 days
- Total: 8-18 days
A typical Koji workflow:
- Set up study (AI generates plan): 10 minutes
- Share link: immediate
- Interviews happen asynchronously: 24-48 hours
- Analysis is automatic: immediate
- Total: 1-2 days
When Great Question Is the Better Choice
Great Question wins when:
- You need participant recruitment from a managed panel — Great Question's recruitment infrastructure is excellent
- You prefer human-moderated sessions with video calls for complex, sensitive, or nuanced topics
- You need incentive management — automated payments, gift cards, and tracking
- You run mixed methods studies combining surveys, interviews, and usability tests in one platform
- You need a research CRM — managing ongoing relationships with research participants
- Your research requires visual stimuli — showing prototypes or materials during live video sessions
When to Choose Koji
Choose Koji when:
- You want AI to conduct interviews — not just help manage them
- You do not have researchers available to moderate every session
- You need results in hours, not weeks
- You want research to happen asynchronously across time zones
- You need consistent interview quality at scale
- You want automated analysis without manual coding
- You are building continuous discovery into your product workflow
- You want Claude MCP integration for AI-powered research workflows
Pricing Comparison
| Great Question Free | Great Question Team | Great Question Business | Koji | |
|---|---|---|---|---|
| Cost | Free (limited) | ~$175/mo | Custom pricing | Free tier + plans |
| AI interviews | Limited | Included | Included | Core feature |
| Panel access | Limited | ✅ | ✅ | BYO |
| Incentives mgmt | ❌ | ✅ | ✅ | External |
| Analysis depth | Basic | AI-assisted | AI-assisted | Fully automated |
| Researcher required | Yes (for moderated) | Yes (for moderated) | Yes | No |
Getting Started
- Create your account — free tier available
- Create a study — describe your research goal
- Share the interview link — participants start immediately
- Review insights — themes and analysis generated automatically
- Share the report — stakeholder-ready in one click
Next Steps
- Quick Start Guide — First AI interview in 10 minutes
- Koji vs. UserTesting — Enterprise research comparison
- Koji vs. Dovetail — Repository vs. end-to-end comparison
- MCP Workflow for Researchers — Automate with Claude
- The Definitive Guide to User Interviews — Qualitative methodology deep dive
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Quick Start Guide
Go from zero to your first AI-powered interview in about 10 minutes.
Creating Your Account
Sign up for Koji with Google or email and set up your profile in under a minute.
Creating Your First Study
Go from a research question to a fully designed interview plan using Koji's AI Consultant.
Voice Interview Experience
What participants see and hear during a voice interview — from microphone permission to natural conversation.
Understanding the Research Brief
A walkthrough of every section in your Koji research brief and how to read it effectively.
Choosing a Methodology
An overview of every research methodology Koji supports and when to use each one.
Avoiding Bias in Research Interviews
Understand the most common biases in qualitative research — confirmation bias, leading questions, and social desirability — and learn proven techniques to minimize their impact on your data.
Koji MCP Integration Overview
Connect Koji to Claude, Cursor, and other AI assistants using the Model Context Protocol (MCP). Manage your entire research workflow conversationally — create studies, run interviews, analyze data, and generate reports without leaving your AI assistant.
Connect Koji to Claude (Setup Guide)
Step-by-step guide to connect your Koji account to Claude Desktop, Claude.ai, Cursor, and other MCP clients. Takes under 2 minutes with OAuth — no API keys required.
MCP Workflow Guide for UX Researchers
How UX researchers use Koji MCP with Claude to scale qualitative research. Manage multiple studies, analyze transcripts across projects, generate themed reports, and maintain a living research repository.
The Definitive Guide to User Interviews
Everything you need to plan, conduct, and analyze user interviews that produce actionable research insights.