AI-Powered Qualitative Analysis

Qualitative coding your
whole team can do together

Upload documents, build your codebook, and start tagging as a team. AI reads your codes and suggests tags as you go. Built for research teams who need speed without sacrificing rigor.

No credit card required Free tier available IRB-ready security docs
Used by teams across
Universities Research Labs UX Research Teams Nonprofit Organizations
Enterprise-Grade Security

256-bit encryption at rest and in transit. Daily automated backups. Team-scoped access controls. Built on Google Cloud infrastructure.

IRB & Compliance Ready

We provide a security overview document for your IRB or compliance office. Transparent infrastructure documentation on request. Download PDF

Responsible AI

Powered by Anthropic's Claude with a strict no-training-on-your-data policy. AI suggests tags from your codebook. You always have the final say.

Everything your team needs to code qualitative data

From uploading documents to exporting coded datasets, CollabCoder handles the entire workflow.

AI-Assisted Tagging

Select a passage and AI suggests tags from your codebook with a brief rationale. You choose what to apply. The AI accelerates your work without overriding your judgment.

Real-Time Collaboration

Invite team members by email. See who tagged what with color-coded initials. Code the same document simultaneously across time zones.

Hierarchical Codebook

Create tags with colors, descriptions, and parent-child relationships. Import your codebook in bulk. Manage and reorganize codes as your analysis evolves.

Multi-Format Upload

Upload TXT, DOCX, PDF, RTF, CSV, Excel, Markdown, and HTML files. CollabCoder extracts and preserves document structure so coding can begin immediately.

Export & Analysis

Export coded data as CSV for use in SPSS, R, Excel, or any analysis tool. Every highlight includes user, tag, text excerpt, and offset data.

Works Everywhere

Browser-based with a native iOS app. No installation, no desktop license keys. Code on your phone, tablet, or laptop from anywhere.

Built for how teams actually work

Whether you're running a funded study or evaluating internal programs, CollabCoder fits the workflow.

Academic Research

Code interview transcripts and field notes with your research team. Build shared codebooks, track individual contributions, and export for inter-rater reliability analysis.

UX & Design Research

Analyze user interviews and usability tests faster. Tag patterns, share coded data across the design team, and build evidence-backed design decisions.

Healthcare & Program Evaluation

Code patient feedback, focus group transcripts, and program evaluation data. IRB-ready security documentation available for institutional review.

Corporate Training & L&D

Analyze training feedback, employee surveys, and organizational culture data. Code qualitative responses at scale with your team instead of working in isolation.

Your codebook, amplified by AI

When you select a passage, CollabCoder's AI reads it against your full codebook and suggests the most relevant tags. Each suggestion includes a brief rationale so you can evaluate it in seconds.

  • Suggests from your codes, not generic categories
  • Shows reasoning for each suggestion
  • Never auto-tags or modifies your data
  • Powered by Anthropic Claude (no data training)
Interview_P03.txt Ln 42-47
...the biggest challenge was when I realized nobody on the team had the same understanding of what the project goals were. We were all working toward different outcomes without knowing it. That lasted about three weeks before...
AI Suggestions from your codebook
Team Misalignment divergent project goals + Apply
Communication Breakdown unspoken assumptions + Apply
Shared Understanding absence of consensus + Apply

Up and running in minutes

No installation, no configuration files, no IT department required.

1

Create a project

Sign up free, name your project, and upload your documents in any format.

2

Build your codebook

Add tags individually or bulk import your existing codebook with descriptions and hierarchy.

3

Invite your team

Add collaborators by email. Everyone sees the same documents, tags, and coded excerpts in real time.

4

Code & export

Select text, apply tags with AI assistance, and export your coded dataset as CSV when you're done.

How CollabCoder compares

The features research teams actually need, without the price tag or the learning curve.

CollabCoder NVivo Atlas.ti Dedoose
AI-assisted tagging ✓ Built in Limited
Real-time collaboration ✓ Native Cloud only
No install required ✓ Browser Desktop app Both
Mobile support ✓ iOS + Web iPad only
Free tier ✓ Forever Trial only Trial only
Starting price $7/mo $99/yr+ $49/mo+ $15/mo+
Time to first code ~3 minutes Hours 30+ min 15+ min

Simple, transparent pricing

Start free. Upgrade when your research grows. No surprise fees.

Free

$0
forever
  • 1 project
  • 2 documents
  • 2 collaborators
  • AI tag suggestions
  • CSV export
Get Started

Academic

$7/mo
or $59/year with .edu email
  • Unlimited projects
  • Unlimited documents
  • 10 collaborators
  • AI tag suggestions
  • Priority support
Verify .edu Email

Team / Enterprise

Custom
for departments & organizations
  • Volume licensing
  • Dedicated onboarding
  • Custom integrations
  • Invoice billing
  • SLA & priority support
Contact Sales

Your team's qualitative data deserves better tools

Join research teams, UX departments, and academic programs already using CollabCoder to analyze qualitative data faster and together.