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Pulse vs Arbor

Last reviewed . Reviewed every quarter.

Arbor, at findarbor.com, is an AI interviewer whose uses include operations, customer experience and transformation work. Pulse, the AI-moderated research platform, serves enterprise research and insights teams studying their customers at scale, from the brief through to the findings a leadership team acts on. Pulse vs Arbor sets the two side by side.

Pulse and Arbor at a glance

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

Pulse and Arbor, feature by feature

Pulse and Arbor, feature by feature
PulseArbor
Analysis and reportingAutomatic transcriptsYesYes
Theme / insight synthesisYesYes
Auto-generated reportsYesYes
Quote extraction w/ linksYesPartly
Chat with your dataYesYes
Cross-study repositoryYesResponse Library; Ask Umi asks questions across interviews
Interviews and studiesAI-moderated interviewsYesYes
Modes (voice/video/text/live)Voice, video, text chat, phone, WhatsApp and live humanVoice
Dynamic follow-up / probingYesYes
Study types offeredInterviews, surveys, trackers, concept and usability testsYes
Participant experience (browser/app)YesVoice interview by link or QR code; can be anonymous
Recruitment and participantsBring your own participantsYesYes
Security and complianceGDPRYesYes

How Arbor is priced

Taken from Arbor's own pricing page.

How Arbor is priced
Arbor
Min contract / contact-salesSales-led: schedule a demo to start

When to choose Arbor

Arbor's interviews are made for feedback that people give out loud, and they can be run without a name attached, on topics such as a process that keeps failing them. Umi runs the interview with an organization's own frontline employees, managers and customers, which suits a leader who wants to hear how a process works from the people inside it. Running it anonymously suits topics where a name attached would change what people are willing to say about their manager or their workload. Participants join through a shareable link or a QR code, which lets a team post the interview on a notice at a site where staff rarely check email.

The output is written for someone who has to act. Arbor's synthesis names themes, root causes, quotes and recommended actions, which suits an operations lead who has to take a recommendation into the next review with the evidence attached, and a manager who reads it gets the reasons behind a failing process in the words of the people who deal with it.

Pulse was designed around research and insights teams whose customer studies span several markets at once. One brief can field a study across those markets, in 240+ languages, enabled on request, which suits a CX lead preparing a service change in several countries who wants to hear customers in each of them before the plan is fixed. The same lead can bring a handful of customers together in a Pulse focus group, to hear them talk the change through among themselves.

Moving from Arbor to Pulse

  1. Name the question behind the Arbor topics. Take the topics from an Arbor customer-experience study, such as a step in the service that customers keep raising, and put the question behind them at the top of a Pulse brief, with the areas to cover, the participants it needs and a screener that admits the customers who have met that problem themselves.
  2. Recruit the customers nobody has contacted. Customers the organization has never been in touch with can still take part, and their view of a process can differ from that of the customers who complain about it. Write their profile into the brief, including the business customers and experts a B2B service depends on, and Pulse recruits participants to it.
  3. Share the study by link, as before. A Pulse study goes out by link as well, so it can be placed in the same emails, portals or printed notices a team used before. Where the team keeps a list of customers, such as the accounts that raised a complaint last quarter, upload that list to Pulse and invite those customers to the same study.
  4. Field a question with a decision date. Choose a customer question with a decision attached, such as a service change going to the leadership team, and field it in time for that meeting, with the questions the leadership team has already asked written into the brief as areas to cover, so the answers arrive framed around what the meeting has to settle.
  5. Send the findings to the managers who act. Send a Word export of the report to the managers who own the service change, with each theme and the customer quotes that support it, so they read the problem in customers' own words before the leadership meeting where the change is decided and its budget is set, and can answer questions about it there.

Where Umi and Pulse overlap

Once the interviews are done, Arbor and Pulse work in much the same way. Arbor keeps what people said in its Response Library, and Ask Umi asks questions across the interviews. Pulse files each study's findings in a repository the team can search, and a CX lead can put a new question to last quarter's study, one that nobody thought to ask at the time. For a team that already runs Arbor inside the organization, the habit of going back to earlier interviews, and of asking them things nobody planned for, carries straight over.

How Umi and Pulse handle channels, transcripts and follow-ups

Interview channels

Arbor's interviewer, Umi, speaks with participants by voice. Pulse interviews by voice too, and by video, text chat, phone call or WhatsApp, so a study can meet customers where the service already talks to them, such as a support line on WhatsApp.

Transcription

Arbor transcribes its interviews automatically, and Pulse delivers a full transcript with each interview recording. On both, the words a finding rests on are kept as text that a manager can read through in full, not only as audio.

Follow-up questions

Arbor's Umi asks adaptive follow-up questions as an interview goes. Pulse's moderator also follows each answer and puts a second question to a vague reply, working from a guide Pulse builds out of the team's brief, so every participant hears the same questions.

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