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Pulse vs UserTesting

Last reviewed . Reviewed every quarter.

Pulse vs UserTesting sets Pulse, the AI-moderated research platform, beside UserTesting. UserTesting offers recorded think-aloud sessions and moderated Live Conversation interviews. On it, teams watch people work through a product or prototype, and they can also run surveys, card sorts and tree tests. Research and CX teams use Pulse to interview customers about their decisions.

Pulse and UserTesting at a glance

Pulse and UserTesting at a glance
PulseUserTesting
AI-moderated interviewsYesPartly
Dynamic follow-up / probingYesNot checked
Languages (count/list)240+ languages, enabled on requestLanguage filter: tests in English, Spanish, French or German
Own panel (size)YesYes
Theme / insight synthesisYesYes
Free trial / free tierYesNot checked

Pulse and UserTesting, feature by feature

Pulse and UserTesting, feature by feature
PulseUserTesting
Analysis and reportingTheme / insight synthesisYesYes
Auto-generated reportsYesYes
Highlight reels / clipsYesYes
Quote extraction w/ linksYesYes
Chat with your dataYesPartly
Sentiment / emotion analysisYesYes
Cross-study repositoryYesYes
Export formatsPDF, PowerPoint, CSV, Excel, Word; Notion, Confluence by MCPExcel: transcripts, demographics, responses, clips, notes
Human analyst service layerYesProfessional Services team runs live moderated testing
Integrations and adminPublic APIYesYes
Roles & permissionsYesFlexible roles, workspace permissions, approval flows, SSO
White-label / agencyYesPartly
Interviews and studiesAI-moderated interviewsYesPartly
Human-moderated supportedYesYes
Languages (count/list)240+ languages, enabled on requestLanguage filter: tests in English, Spanish, French or German
Stimulus (concept/proto/website)YesYes
Usability / task-based testingYesYes
Survey / quant alongside qualYesYes
Study types offeredInterviews, surveys, trackers, concept and usability testsYes
Study setup (AI guide/templates)YesYes
Participant experience (browser/app)YesRecording software captures speaker audio and screen
Fraud / quality checksYesAI fraud detection, flags sent for human review
Focus groups / multi-participantYesYes
Recruitment and participantsOwn panel (size)YesYes
Bring your own participantsYesYes
B2B / expert recruitmentYesB2B and professional audiences via User Interviews
Countries / marketsGlobal7 countries; Advanced, Ultimate add 8, job level, industry
Screeners / targetingYesYes
Stated turnaroundOvernightSimple tests: start receiving results in as little as 1 hour
Security and complianceData residency optionsYesYes
PII redactionYesBlur Tool conceals names, logins and addresses in recordings
Subprocessors namedYesNamed list; AI: OpenAI, Google, ElevenLabs, AWS Bedrock

How UserTesting is priced

Taken from UserTesting's own pricing page.

How UserTesting is priced
UserTesting
Pricing modelQuote-only; each edition says Request pricing
Public prices by planNo
What each plan includesPlans: Test-based Consumption or Team-based Unlimited
Min contract / contact-salesQuote from account team; varies by users, types, features
Recruitment / sample costLow rating: replace the contributor or refund the session
Third-party reported pricesVendr: median $41,200/yr, range $12,349 to $115,980
Enterprise deal / project priceVendr: median $41,200/yr across 359 purchases

When to choose UserTesting

UserTesting centers on watching people use a product. Its tests record participants as they work through a task, and prototypes can be hosted securely on the platform for a test. Its FAQ says a team can start receiving results from simple tests in as little as an hour, and that videos usually run 10 to 15 minutes, depending on the tasks. Highlight reels and video clips then carry the telling moments into a design review. Its AI Insight Summary sets out the key learnings and moments, with each AI output linked back to the evidence under it. That pace suits a design team that wants to see where a flow trips people up before engineering builds it.

A product organization where many teams test at the same time gets both the people and the controls from UserTesting. Studies draw on the Contributor Network of users around the world, and a test that needs professionals, such as the finance leads who sign off a purchase, can reach B2B and professional audiences through User Interviews. Flexible roles, workspace permissions, approval flows and single sign-on suit a research operations team that governs testing across all of those groups.

Why a customer renewed, moved to a rival or put off an upgrade is a question for interviews, and a product or research team can hold them in Pulse with an AI moderator, many of a study's conversations running in parallel. Pulse handles the incentives for the people it recruits.

Moving from UserTesting to Pulse

  1. Start the brief from UserTesting screeners. Start from the targeting criteria and screener questions the team already uses on UserTesting, and the question each study set out to answer. Write them into a Pulse brief with the topics the interview should explore, and Pulse turns that brief into the interview.
  2. Carry the Custom Network over. The users, partners and employees kept in UserTesting's Custom Network can be invited by uploading their list or by sharing a link with them. Pulse finds anyone the list leaves out by recruiting to the brief's profile, business and expert audiences included.
  3. Hold the first study on video. Run the first study's interviews on video. Designers used to watching test recordings get their evidence in a familiar form, and Pulse's video insights pick out the behavior and emotion that show on camera in each recording.
  4. Keep a researcher on the sessions that need one. Researchers used to moderating UserTesting's Live Conversation sessions can go on leading interviews themselves, since a Pulse interview can be run by a live human moderator as well as by the AI, so the studies that call for a researcher's judgment still have one.
  5. Let product leads read the hesitation. Hand the product leads the themes Pulse grouped from the interviews, each with the quotes behind it, so the places where customers hesitated in a flow or a purchase are argued from their own words when the next round of design priorities is set.

UserTesting's interviews, Pulse's usability tests

Each platform reaches into the other's usual ground. UserTesting runs live interviews beside its tests, and Pulse runs usability and task tests and surveys beside its interviews, so either can hold both kinds of study a product team plans in a quarter. Both check the people who take part. UserTesting's AI fraud detection sends what it flags to a person for review, and every participant in a Pulse study goes through a fraud check.

How UserTesting and Pulse handle probing, recordings, stored findings, integrations and privacy

AI probing during a test

UserTesting adds AI Moderation follow-ups to its Think Out Loud tests, in limited early access. Pulse's AI moderator asks each question in the guide, listens to the reply, and follows a vague answer with a second question; every participant hears the same guide.

Recording each session

UserTesting's recording software captures the speaker's audio and the screen as a participant works through a test, and its Results API returns the videos and transcripts. Pulse records each voice or video interview, and a full transcript arrives with every recording.

Keeping findings across studies

UserTesting's Insights Hub keeps collaborative reports in one place. Pulse keeps every study's findings searchable in one place, so a researcher planning the next study can see what customers have already told the team on the subject.

Connections to other tools

UserTesting integrates with Slack, Teams, Jira, Figma, FigJam and Miro, and its Results API also returns QXscores and session data. Pulse connects to the tools a team already runs, offers a public API, and puts findings into Notion or Confluence pages through MCP.

Blurred recordings and redacted transcripts

UserTesting's Blur Tool conceals names, logins and addresses inside recordings, the video a product team watches back. Pulse removes personal data from the transcript of each interview, the text in which a customer's own words are kept.