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Pulse vs Strella

Last reviewed . Reviewed every quarter.

Strella's AI interviews are used for concept tests, market research and usability tests, so Pulse vs Strella is a question for the teams that plan those studies. Pulse, the AI-moderated research platform, is built for the research, insights, product and CX teams of large organizations. They use it to interview their customers at scale about the choices those customers make.

Pulse and Strella at a glance

Pulse and Strella at a glance
PulseStrella
AI-moderated interviewsYesYes
Dynamic follow-up / probingYesYes
Languages (count/list)240+ languages, enabled on request46+ languages
Own panel (size)YesYes
Theme / insight synthesisYesYes
Free trial / free tierYesNot checked

Pulse and Strella, feature by feature

Pulse and Strella, feature by feature
PulseStrella
Analysis and reportingTheme / insight synthesisYesYes
Auto-generated reportsYesYes
Highlight reels / clipsYesYes
Quote extraction w/ linksYesYes
Chat with your dataYesYes
Cross-study repositoryYesYes
Export formatsPDF, PowerPoint, CSV, Excel, Word; Notion, Confluence by MCPReports download as Word (.docx) or PDF
Time to reportHoursInsights in just a few hours
Human analyst service layerYesYes
Integrations and adminWhite-label / agencyYesPartly
Interviews and studiesAI-moderated interviewsYesYes
Modes (voice/video/text/live)Voice, video, text chat, phone, WhatsApp and live humanAudio only, video or screen recording, set by the researcher
Dynamic follow-up / probingYesYes
Human-moderated supportedYesYes
Languages (count/list)240+ languages, enabled on request46+ languages
Stimulus (concept/proto/website)YesYes
Usability / task-based testingYesYes
Survey / quant alongside qualYesYes
Study types offeredInterviews, surveys, trackers, concept and usability testsAdvisory, concept, market research, usability testing
Participant experience (browser/app)YesDesktop and mobile
Recruitment and participantsOwn panel (size)YesYes
Bring your own participantsYesYes
B2B / expert recruitmentYesYes
Countries / marketsGlobalGlobal: 8M participants worldwide
Screeners / targetingYesYes
Incentive handlingYesYes
Stated turnaroundOvernightInsights in just a few hours
Security and complianceGDPRYesYes
PII redactionYesBlur camera or screen share, whole interview or per question
Subprocessors namedYesAnthropic, OpenAI, AssemblyAI, Deepgram, Google Cloud, more

How Strella is priced

Taken from Strella's own pricing page.

How Strella is priced
Strella
Pricing modelUsage-based pricing tiers

When to choose Strella

Strella can place any kind of stimulus inside a study, and it records each participant's screen and video while they respond to it. A brand team with two cuts of the same television spot can put both into one study, then give the editors deciding which cut goes to air, for each cut, a recording of every participant watching it next to what that participant said about it.

Recruitment reaches business buyers and consumers alike, with Respondent.io and User Interviews named as partners, and a team can put questions to an AI about a single interview or across all of its sessions. That suits a product team that brings research into its weekly planning and wants the evidence close at hand when it does. A product manager preparing a roadmap review can ask what customers said about one feature across every session, rather than rereading each conversation in turn to find the passages that matter.

Where a single study has to hear from more than one kind of customer, such as first-time buyers and long-standing ones, Pulse recruits several groups under one brief, each with its own profile and screener. Strella collects quantitative survey data beside its interviews, and Pulse runs surveys on the same platform as its interviews, for when the findings raise a question of scale, how many customers share a view. For a measure the team follows from quarter to quarter, a Pulse tracker asks the same questions again over time, so a change shows. That combination serves an insights function planning a year of studies around the measures it returns to.

Moving from Strella to Pulse

  1. Mine the Strella transcripts for the brief. Before writing the first Pulse brief, use Strella's connector in Claude or ChatGPT to pull the participant quotes from past Strella interviews that touch the brief's question. Set them under the brief's areas to cover, with the gap they leave as its research question, so the Pulse interview picks up where the old ones stopped.
  2. Bring over the customers and the panel audiences. Strella studies draw on participant lists the team imports or on the more than 8 million people in Strella's panel, narrowed with recruitment filters. Upload the customers on those lists to Pulse to contact. For a panel audience, write the team's filters into the brief as its profile and screener, and Pulse recruits to that profile.
  3. Take over a study the advisory team would run. Strella's advisory team runs scoping, research and readouts. Make the first Pulse study one the team would once have handed to it, and write the scope the advisory team would have set into the brief. Launch it, then give the readout to the stakeholders who used to hear Strella's, as a PowerPoint deck ahead of their meeting.

How closely Strella and Pulse match

Neither platform leaves every study to the AI. Strella supports sessions a researcher moderates as well as sessions its AI runs, and its repository holds the AI and the human-moderated interviews together. On Pulse, interviews can also be moderated live by a person, and human analysts work alongside the platform. A research lead who keeps the sensitive conversations for a colleague and hands the routine rounds to the AI can hold to that split on either.

Fieldwork, quotes, reels, languages and subprocessors

Reading while fieldwork runs

Strella synthesizes interviews in real time, as they come in. On Pulse, each interview reaches the researcher as a complete transcript beside its recording while other participants are still being interviewed, so a researcher can read the first conversations well before the last one ends.

Verbatims under the themes

Strella's reports back each insight with verbatims and highlight clips, and a quote in its research chat opens that participant's session. Pulse groups its themes from what participants said and sets the supporting quotes under each theme, each one traced to the interview transcript it came from.

Reels of customers' own words

Strella generates highlight reels and clips instantly from a study's interviews. Pulse cuts highlight reels and clips from the recordings of its interviews, which a researcher can play at a steering group's review, so its members hear customers make a point in their own voices before they read the report.

Interview languages

Strella holds its interviews in 46+ languages. Pulse runs interviews in 240+ languages, enabled on request, so a team planning a study in several languages asks for the ones it needs while it plans that study.

Named subprocessors

Strella names the subprocessors behind its service, with AssemblyAI, Deepgram and Google Cloud among them. Pulse names its own subprocessors in its privacy notice, so a procurement team can see who processes interview data on either platform before it signs.

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