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Comparisons

Koji vs. Dovetail — End-to-End Research vs. Analysis-Only Repository

Dovetail organizes and analyzes research you have already conducted. Koji conducts the research for you with AI-powered interviews AND analyzes the results automatically. Compare how each platform fits into your research workflow.

The Short Answer

Dovetail is a powerful research repository and analysis platform — it helps you organize, tag, code, and share insights from research you have already done. But Dovetail does not conduct interviews. You still need to moderate sessions, record them, and upload transcripts before Dovetail's analysis tools can help.

Koji is end-to-end — it conducts AI-powered interviews, transcribes them, identifies themes, generates insights, and produces shareable research reports. Koji replaces the need for a separate interview tool, transcription service, and analysis platform.


The Fundamental Difference

Dovetail is where research goes after it happens. Koji is where research happens — and the analysis comes built in.

Think of it this way: Dovetail is a research library. Koji is a research team. One stores and organizes knowledge. The other generates it.


Feature Comparison

CapabilityDovetailKoji
Conducts interviewsAI-powered voice and text
Transcription✅ Upload recordings✅ Built-in (automatic)
Qualitative coding✅ Manual tagging + AI-assistedFully automated theming
Theme identification✅ Manual + AI suggestions✅ Automatic across all interviews
Research repository✅ Core feature — searchable insight databaseInsights dashboard per study
Stakeholder reports✅ Highlights, reels, canvasAuto-generated research reports
Follow-up probing❌ (analysis only)✅ AI probes deeper in real-time
Methodology guardrailsMom Test, JTBD, Discovery
Video highlights✅ Clip and tag video moments❌ (transcript-based)
Survey integration✅ Import from Typeform, SurveyMonkey❌ (replaces surveys with interviews)
Figma integration
APIFull REST API + embed
AI assistant integration✅ MCP serverClaude MCP integration
Pricing modelPer-seat ($29-79/user/month)Credit-based (not per-seat)

Why Teams Consider Koji Over Dovetail

1. Dovetail Requires Research to Already Exist

Dovetail's value proposition starts after you have conducted interviews, usability tests, or surveys. You still need:

  • A separate tool to conduct interviews (Zoom, UserTesting, or manual scheduling)
  • A transcription service (Otter.ai, Rev, etc.) or Dovetail's own transcription
  • Hours of manual moderation — sitting in every interview, taking notes
  • Time to upload, organize, and process everything in Dovetail

With Koji, you describe your research goal, the AI consultant generates the plan, you share a link, and interviews happen asynchronously. No scheduling. No moderation. No transcription uploads. Analysis is automatic.

2. Per-Seat Pricing Limits Collaboration

Dovetail charges $29-79 per user per month. For a team of 10 people who should have access to research insights (2 researchers, 3 PMs, 2 designers, 2 engineers, 1 executive), that is $290-790/month just for access.

This creates a perverse incentive: the people who most need research insights (PMs, designers, engineers) get locked out because adding seats is expensive. Koji's credit-based pricing means insights are accessible to everyone on your team.

3. Manual Coding Is Still Manual

Dovetail has added AI-assisted features like Magic Suggest and Channels, but the core workflow remains largely manual — you read transcripts, highlight passages, create tags, assign codes, and build themes. For a 10-interview study, this still takes 15-30 hours of analyst time.

Koji's analysis is fully automated. Themes and patterns are identified across all interviews without manual coding. Quality scores filter low-effort responses. Research reports are generated with one click.

4. Repository Bloat Without Action

Dovetail's strength as a repository can become a weakness. Teams accumulate thousands of tagged insights, highlights, and notes — but struggle to connect them to product decisions. A 2024 industry survey found that 42% of research teams struggle to translate research findings into business outcomes.

Koji's per-study model keeps insights actionable. Each study produces a focused research report with clear themes and recommendations — designed to be presented to stakeholders and acted on immediately.


When Dovetail Is the Better Choice

Dovetail wins when:

  • You have existing research data (videos, transcripts, survey results) that needs to be organized and analyzed
  • You need a centralized research repository that the entire organization can search
  • You conduct moderated usability tests and need video highlight reels
  • You need to consolidate research across multiple tools (UserTesting + surveys + interview transcripts)
  • You want Figma integration for embedding insights alongside designs
  • Your team has dedicated researchers who prefer manual coding and tagging
  • You need to analyze research you did not conduct — customer support calls, sales recordings, etc.

When to Choose Koji

Choose Koji when:

  • You need to conduct AND analyze interviews — not just analyze existing data
  • You do not have a dedicated researcher to moderate every session
  • You want research to happen asynchronously — no scheduling, no time zones
  • You need results in hours, not weeks of manual coding
  • Your team needs access to insights without per-seat costs
  • You want to run continuous discovery — weekly interviews without weekly moderation
  • You want AI to handle the heavy lifting: moderation, transcription, coding, theming, and reporting

The Complementary Approach

Some teams use both tools together:

  1. Koji conducts AI-powered interviews and generates per-study insights
  2. Dovetail serves as the long-term research repository where Koji insights are archived alongside usability tests, survey data, and support call analysis

This gives you the speed and automation of Koji for new research, plus Dovetail's repository for historical knowledge management.


Pricing Comparison

Dovetail FreeDovetail TeamDovetail BusinessKoji
CostFree (limited)$29/user/month$79/user/monthFree tier + plans
5-person team costFree$145/month$395/monthPlan-based (flat)
10-person team costN/A$290/month$790/monthPlan-based (flat)
Conducts interviews
AnalysisManual + AI-assistedManual + AI-assistedManual + AI-assistedFully automated
Research reportsManual creationManual creationManual creationAuto-generated
Additional tools neededInterview tool + transcriptionInterview tool + transcriptionInterview tool + transcriptionNone — end-to-end

Total cost of research with Dovetail: Dovetail subscription + interview tool (Zoom Pro $20/mo) + transcription service ($0.25/min) + researcher time (hours of moderation and manual coding).

Total cost of research with Koji: Koji subscription. That is it.


Getting Started

  1. Create your account — start with the free tier
  2. Create your first study — describe your research goal
  3. Share interview link — send to your participants
  4. Review automated insights — themes, patterns, and quality scores
  5. Share the research report — one-click stakeholder reports

Next Steps

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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.

Understanding the AI Consultant

Learn how Koji's AI Consultant helps you design rigorous qualitative research — even if you've never done it before.

Voice Interview Experience

What participants see and hear during a voice interview — from microphone permission to natural conversation.

Writing a Research Question

Learn how to frame a clear, focused research question that sets the foundation for a successful study.

Choosing a Methodology

An overview of every research methodology Koji supports and when to use each one.

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.

The Complete Guide to Thematic Analysis

Learn how to systematically analyze qualitative data using Braun and Clarke's six-phase thematic analysis framework.