Alternatives

Best EnjoyHQ alternatives in 2026

EnjoyHQ was one of the original research repositories, and a lot of teams built their research practice on it. UserTesting acquired it in late 2021 and has since folded it into the wider UserTesting platform, so it's no longer sold as a standalone repository — the choice for a former EnjoyHQ team is between staying inside UserTesting's enterprise contract and moving to a standalone tool. This guide compares the nine realistic options: the direct repository replacements, the analysis-led tools, and the one alternative whose output is a roadmap rather than another archive. An EnjoyHQ alternative here means a tool that stores, searches, and transcribes research the way EnjoyHQ did, sold in a way a former standalone customer can actually buy.

By Jess O'Malley, Founder & CEO, IntervoolLast reviewed 9 tools compared

What's the best EnjoyHQ alternative?

For a like-for-like standalone repository, Dovetail is the most capable and Condens is the value pick; Marvin is the choice if you want AI doing more of the tagging. If your organization is already a UserTesting customer, staying put is the least disruptive option. If the real problem was that research got filed in EnjoyHQ and never changed what was built, Intervool is the alternative built the other way round — the same capture and synthesis, ending in personas, segments, and a prioritized roadmap, on a flat plan with six seats.

Compared at a glance

EnjoyHQ did the first three columns well. Any replacement has to match them; the interesting differences are in the last three.

Tool
Store & tag
Search across studies
Transcription included
AI cross-study themes
Personas & segments
Prioritized roadmap
Repository that ends in decisions
Intervool — Store & tag: Yes
Intervool — Search across studies: Yes
Intervool — Transcription included: Yes
Intervool — AI cross-study themes: Yes
Intervool — Personas & segments: Yes
Intervool — Prioritized roadmap: Yes
Standalone repository
Dovetail — Store & tag: Yes
Dovetail — Search across studies: Yes
Dovetail — Transcription included: Yes
Dovetail — AI cross-study themes: Yes
Dovetail — Personas & segments: No
Dovetail — Prioritized roadmap: No
Condens — Store & tag: Yes
Condens — Search across studies: Yes
Condens — Transcription included: Yes
Condens — AI cross-study themes: Yes
Condens — Personas & segments: No
Condens — Prioritized roadmap: No
Marvin — Store & tag: Yes
Marvin — Search across studies: Yes
Marvin — Transcription included: Yes
Marvin — AI cross-study themes: Yes
Marvin — Personas & segments: No
Marvin — Prioritized roadmap: No
Platform
Great Question — Store & tag: Yes
Great Question — Search across studies: Yes
Great Question — Transcription included: Yes
Great Question — AI cross-study themes: Partial
Great Question — Personas & segments: No
Great Question — Prioritized roadmap: No
UserTesting — Store & tag: Yes
UserTesting — Search across studies: Yes
UserTesting — Transcription included: Yes
UserTesting — AI cross-study themes: Partial
UserTesting — Personas & segments: No
UserTesting — Prioritized roadmap: No
Analysis-led
Notably — Store & tag: Yes
Notably — Search across studies: Yes
Notably — Transcription included: Yes
Notably — AI cross-study themes: Yes
Notably — Personas & segments: No
Notably — Prioritized roadmap: No
Aurelius — Store & tag: Yes
Aurelius — Search across studies: Yes
Aurelius — Transcription included: Partial
Aurelius — AI cross-study themes: Partial
Aurelius — Personas & segments: No
Aurelius — Prioritized roadmap: No
Looppanel — Store & tag: Partial
Looppanel — Search across studies: Yes
Looppanel — Transcription included: Yes
Looppanel — AI cross-study themes: Yes
Looppanel — Personas & segments: No
Looppanel — Prioritized roadmap: No
Yes Does thisPartial Partly, or with workaroundsNo Not a feature
What each column means
Store & tag
A structured place to keep findings with a tagging model that stays consistent across studies.
Search across studies
Find a quote or finding from any past study, not just the one you're currently in.
Transcription included
Interview transcription is part of the product rather than something you bring from elsewhere.
AI cross-study themes
AI proposes what repeats across studies instead of you tagging your way to the pattern by hand.
Personas & segments
Builds and maintains profiles of customer types and groups from what the research says, as a first-class workflow.
Prioritized roadmap
Turns what you learned into ranked feature bets inside the same tool, rather than exporting to a separate PM tool.

The categories, and what each is for

These products get compared as if they’re interchangeable. They aren’t — they’re solving different halves of the job.

Repository that ends in decisions

Same capture and synthesis, but findings continue into personas, segments, and a prioritized roadmap.

Intervool

Standalone repositories

The direct replacements: storage, tagging, search, transcription, sold on their own.

Dovetail, Condens, Marvin

Analysis-led tools

Organized around analyzing — canvases, recommendations, AI notes — with a lighter archive.

Notably, Aurelius, Looppanel

Platforms

The repository as part of a larger research platform, including where EnjoyHQ went.

UserTesting, Great Question

The tools in detail

01

Intervool

Our productRepository that ends in decisions

For EnjoyHQ teams whose research never made it out of the repository

Intervool interview library listing every recorded customer interview with status and focus
Every interview in one searchable library.

Intervool covers what most teams used EnjoyHQ for — a searchable home for interviews, transcripts, and source-linked insights — and then continues where a repository stops. AI clusters what repeats into evidence-linked themes without a tagging taxonomy to maintain, those themes build dynamic personas and segments, and they become an impact-vs-effort roadmap where every bet is one click from the customer quote behind it. It accepts uploaded recordings, audio, and notes, so an EnjoyHQ export can be re-analyzed rather than re-tagged. Pricing is flat and published — Basic $39/mo, Team $279/mo with six seats — which is a different world from an enterprise UserTesting contract. It's less configurable than Dovetail for a large research org with a formal taxonomy.

Best for
Product teams who want the replacement to produce decisions, not a second archive
Pricing
Basic $39/mo · Team $279/mo (6 seats) · Enterprise custom
Free option
14-day free trial, no credit card

Strengths

  • Findings continue into personas, segments, and a prioritized roadmap
  • AI proposes themes — no taxonomy to rebuild after migrating
  • Flat, published pricing; six seats on Team
  • Accepts uploads, so an EnjoyHQ export isn't stranded
  • Every insight one click from the quote and person behind it

Limitations

  • Less configurable than Dovetail for a large research function
  • Not built around a formal tagging model
  • No permanent free tier
Intervool insights table showing extracted pain points and opportunities with their source interviews
Each insight keeps the interview and person it came from.
Intervool impact vs effort prioritization board turning interview themes into a product roadmap
Themes become prioritized bets — each one click from the quote behind it.
02

Dovetail

Standalone repository

The most capable standalone repository — EnjoyHQ's closest peer

Dovetail homepage — the market-leading user research repository

Dovetail is the most mature research repository available: rigorous tagging, excellent search across years of studies, strong integrations, and the governance a large organization needs. Its power depends on discipline — the tagging model is only as good as the person maintaining it — and its per-seat pricing means the people who most need to read the research are often the ones without a login.

Best for
Research teams who want the deepest tagging, search, and governance
Pricing
From ~$29/user/mo to enterprise
Free option
Limited free plan and trial

Strengths

  • Deepest tagging and search in the category
  • Excellent integrations and enterprise governance
  • Scales to very large archives and teams

Limitations

  • Per-seat pricing scales sharply
  • Value depends on someone maintaining the taxonomy
  • Findings export elsewhere to become decisions
03

Condens

Standalone repository

Most of the repository job at a fraction of the price

Condens homepage — affordable user research repository and analysis tool

Condens covers the core repository job — storing, tagging, highlighting, searching — with a clean interface and pricing starting around €15 per user per month. For a team of two or three researchers it delivers most of what Dovetail does at a fraction of the cost. It's lighter on enterprise governance and very large archives, and like every repository it ends at synthesis: nothing in it turns a theme into a prioritized decision.

Best for
Small research teams leaving an enterprise contract for something they can expense
Pricing
From ~€15/user/mo
Free option
Free trial only

Strengths

  • Excellent value for a full repository
  • Clean, fast interface that's quick to learn
  • Good transcription and highlighting workflows

Limitations

  • Lighter than Dovetail at very large scale
  • Still per-seat
  • No prioritization or roadmap layer
04

Marvin

Standalone repository

A repository where AI does more of the tagging

Marvin homepage — AI-powered user research repository

Marvin (heymarvin.com) is a research repository with AI synthesis as a first-class feature rather than an add-on: it transcribes, summarizes, and proposes clusters, which cuts the manual tagging a study needs. For teams who find repository upkeep the tedious part that's a genuine advantage. Paid tiers are quoted rather than published, and the analysis is still the end of the line — outputs hand off to a separate roadmap tool.

Best for
Teams who don't want to rebuild an EnjoyHQ-style taxonomy by hand
Pricing
Paid tiers quoted on request (Starter, Pro, Enterprise)
Free option
Free plan — 5 file uploads/mo, AI notetaker and Ask AI included

Strengths

  • Strong AI synthesis inside a real repository
  • Reduces manual tagging effort
  • Generous free plan for trying it

Limitations

  • Paid pricing quoted on request
  • Smaller ecosystem than Dovetail
  • Analysis is still the end of the line
05

Great Question

Platform

Recruiting, research CRM, and a repository in one platform

Great Question is an all-in-one research platform: participant recruiting and a research CRM, scheduling and incentives, interviews and surveys, and a repository for what comes out. If the pain of leaving your current repository is that it never handled recruiting, Great Question closes that gap in one tool. The repository is the less developed half — tagging and synthesis are lighter than in Dovetail or Condens — and pricing is quoted rather than published.

Best for
Research ops teams who also need participant recruiting
Pricing
Plans quoted on request (Starter, Team, Enterprise)
Free option
Free trial

Strengths

  • Recruiting, CRM, incentives, and repository in one place
  • Strong for teams running research ops at scale
  • Good survey and interview scheduling workflows

Limitations

  • Repository and synthesis lighter than dedicated tools
  • Pricing quoted on request
  • No prioritization or roadmap output
06

Notably

Analysis-led

Affinity mapping on a visual canvas

Notably pairs a repository with a visual canvas for affinity mapping and AI assistance for summarizing and clustering. If your analysis process involves arranging notes into groups and moving them around until the shape emerges, it matches that thinking more directly than a tag-and-filter repository does. It's a smaller product with a smaller ecosystem than the established players.

Best for
Researchers who analyze by grouping things visually
Pricing
Pro from ~$50/mo; Teams from ~$400/mo
Free option
7-day free trial only

Strengths

  • Visual affinity mapping with AI assistance
  • Good fit for workshop-style analysis sessions
  • Quick to get started

Limitations

  • Smaller product and ecosystem
  • Per-seat pricing on team plans
  • No prioritization or roadmap output
07

Aurelius

Analysis-led

Findings tied explicitly to recommendations

Aurelius homepage — research repository linking findings to recommendations

Aurelius structures research around the chain from raw notes to key findings to recommendations, which forces analysis to end in a statement someone can act on rather than a pile of tagged quotes. That structure is its main idea and it's a good one. It's a smaller, simpler product than Dovetail — fewer integrations, less governance, lighter AI — and recommendations still hand off to a PM tool to become a plan.

Best for
Teams who want each study to end in a recommendation
Pricing
From ~$49/mo
Free option
Free trial only

Strengths

  • Explicit findings-to-recommendations structure
  • Simple and quick to adopt
  • Good search across projects

Limitations

  • Fewer integrations than the market leaders
  • Lighter AI assistance
  • Recommendations still hand off to a PM tool
08

Looppanel

Analysis-led

AI notes per study, lighter archive

Looppanel homepage — AI analysis and lightweight repository for research calls

Looppanel joins research calls, transcribes them, generates notes against your discussion guide, and lets you ask questions across a whole study. Its storage layer exists but the product's centre is analysis, which makes it a good fit if the repository was never really the point. For an organization that needs a durable, governed archive across years of research, a dedicated repository is the better shape.

Best for
A researcher who cares more about analysis speed than the filing system
Pricing
Pro from ~$395/mo (5 editors); ~$75/mo per additional editor
Free option
1-month free trial only

Strengths

  • Strong AI analysis of research calls
  • Ask-AI across a whole study
  • Notes mapped to your discussion guide

Limitations

  • Lighter as a long-term archive
  • Per-editor pricing above the base plan
  • No personas, prioritization, or roadmap
09

UserTesting

Platform

Where EnjoyHQ went — the repository inside the UserTesting platform

UserTesting homepage — enterprise human insight platform with EnjoyHQ repository

UserTesting is the enterprise human-insight platform: a very large managed panel, moderated and unmoderated testing, and — since it acquired EnjoyHQ in 2021 — a repository layer inside the same platform. For a large organization that wants recruiting, testing, and storage under one contract it's the safest choice. It's quote-based, annual, and priced for enterprises; a small team leaving a repository for cost reasons won't find relief here.

Best for
Existing UserTesting customers who want the least disruptive path
Pricing
Custom / enterprise quote
Free option
Free trial by request

Strengths

  • Largest managed panel in the category
  • Testing and repository under one enterprise contract
  • Governance, SSO, and compliance built in

Limitations

  • Quote-only, annual, enterprise pricing
  • Heavy for a team that only needs a repository
  • No prioritization or roadmap output
Methodology

How we evaluated these

We started from why repositories fail

Forrester found that 60–73% of enterprise data goes unused, and Pendo's feature-adoption research found 80% of product features are rarely or never used. A EnjoyHQ alternative that only stores research better doesn't touch either number; one that carries findings into what gets built does. That's why the last two grid columns are weighted as heavily as the first three.

We separated 'stay' from 'move'

For a former EnjoyHQ team the first question isn't which repository — it's whether to remain inside UserTesting. That option is listed on its own terms, with the honest note that it only makes sense if you're already an enterprise UserTesting customer.

We held every tool to EnjoyHQ's baseline

Storage, search, and transcription are what EnjoyHQ did well. The first three grid columns check that a replacement doesn't lose them.

We weighted the migration cost

Tags don't survive a repository migration. Tools that re-derive structure from raw recordings and notes carry a lower migration cost than tag-first repositories, and we noted which is which.

Pricing checked August 2026, and we're not neutral

Published prices as of August 2026, rounded; enterprise tiers are negotiable. Intervool is ours and marked as such; its weakness against Dovetail — less configurable tagging for a large research function — is stated in its own entry.

FAQ

Common questions

What happened to EnjoyHQ?

UserTesting acquired EnjoyHQ in late 2021 and has since integrated it into the UserTesting platform as its repository layer. It is no longer sold as a standalone research repository, so teams that used EnjoyHQ on its own are choosing between UserTesting's enterprise platform and a standalone alternative.

What is the best alternative to EnjoyHQ?

Dovetail for the most capable standalone repository, Condens for the same job at a lower price, Marvin for AI-assisted tagging, and Intervool if you want the replacement to carry research into personas and a prioritized roadmap rather than stopping at an archive. Existing UserTesting customers can simply stay.

Is EnjoyHQ still available inside UserTesting?

Yes — the repository capability lives on inside the UserTesting platform, sold as part of an enterprise, quote-based contract. If your organization already has UserTesting, that's the least disruptive option. If you bought EnjoyHQ on its own as a small team, the UserTesting contract is usually a step up in cost and scope.

EnjoyHQ vs Dovetail — which is better now?

Dovetail, for any team that wants a standalone repository: it has the deeper tagging model, search, and integrations, publishes its pricing, and is actively developed as its own product. EnjoyHQ's advantage is only relevant if you're already inside UserTesting and want testing and repository under one contract.

Can I migrate from EnjoyHQ to another tool?

Recordings, transcripts, and notes export; tags and the EnjoyHQ taxonomy generally don't map to another repository. Tools that re-derive structure from the raw files on upload — Intervool does this, and Marvin's AI clustering reduces the rebuild — avoid re-tagging an entire archive by hand.

What is the cheapest EnjoyHQ alternative?

Condens, from around €15 per user per month, is the cheapest full repository. For a team where more than a handful of people need to read the research, a flat plan usually costs less overall — Intervool's Team plan is $279/mo with six seats included. Notion is free but has no transcription or source-linked quotes.

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