Discovery & Planning
AI User Research Synthesis
Interview transcripts and session notes turned into findings, supporting quotes and named opportunities, delivered on schedule.
Research sessions are valuable only if the findings reach the people making decisions. Too often, transcripts pile up and insights stay in one researcher's head. This build reads your interview transcripts and session notes, pulls out findings with real participant quotes, and groups recurring patterns into named opportunities. A report arrives on schedule, and your raw recordings stay untouched.
- Findings backed by participants' own words, not paraphrase
- Patterns across sessions grouped into named opportunities
- A recurring research report your stakeholders will read
$3,400
20–30 working days
Optional maintenance $249/mo
What it is
AI User Research Synthesis reads your user research transcripts, whether from interviews, usability sessions or call recordings, and turns them into structured findings with supporting quotes and named opportunities. It delivers a recurring report so insights from research sessions actually reach the people making product decisions.
Why businesses buy it
Teams spend real money recruiting and interviewing users, then lose much of the value when nobody has time to synthesize the sessions. Decisions get made on memory, and the same questions are researched twice. With synthesis built in, every session feeds a shared report of findings, quotes and opportunities that stakeholders can trust. Researchers spend time on better studies instead of tagging transcripts. The Scope Card sets the sources, recurring questions and delivery channel before you order, so you know exactly what the build covers.
Problems this solves
Interview recordings pile up and never get properly analyzed
The system reads transcripts from interviews, usability sessions or call recordings across up to three sources. It turns them into structured findings with supporting quotes and named opportunities.
Research insights stay with the researcher and never reach decision makers
Findings go out as a recurring report to email, Slack or a dashboard. People making product decisions see the evidence without having to ask the researcher for a summary.
Patterns across many sessions are hard to spot one transcript at a time
Findings are grouped across sessions, so a point raised by several users stands out. Up to five alerts can flag when a new pattern appears in recent transcripts.
Teams repeat research because earlier findings are hard to find
Each finding is kept with its quote and its source session in the report. Teams can check what users already said before booking another round of interviews.
A good fit if
You run user interviews or usability sessions regularly, and the recordings or transcripts pile up faster than anyone has time to synthesize them.
You want findings backed by direct quotes, not a paraphrased summary that loses the specific language a user used to describe a problem.
You can define the recurring questions your research should answer, such as which onboarding step causes the most confusion, so synthesis stays focused.
You want a recurring report delivered to email, Slack or a dashboard, rather than a static research repository nobody opens after the readout.
Not the right fit if
Your source material is support tickets and reviews, not research interviews or usability sessions. See AI Feedback Synthesis.
You want incoming feature requests deduplicated and prioritized, not qualitative research findings. See AI Feature Request Triage.
You want findings turned directly into a drafted PRD, not a synthesis report. See AI PRD Generator.
You need research synthesis connected to more than three read-only sources. Add a note at checkout for a written Change Quote, or use our Custom AI inquiry form.
How it works
- Transcripts are pulled from up to three sources. Interview recordings, usability session notes or a research repository, connected as read-only so your raw sessions stay exactly as recorded.
- Findings are extracted, not just summarized. Each recurring pain point, workaround or moment of confusion is pulled out as its own finding, rather than folded into one general summary.
- Every finding keeps its supporting quote. So when a finding says users struggled with a step, you can see the participant's own words behind it, not just a claim.
- Findings are grouped into named opportunities. Related findings across multiple sessions are tied together into an opportunity your team can act on, using the recurring questions you set at intake.
- A recurring report is delivered on schedule. To email, Slack or a dashboard, with up to five alerts when a new opportunity crosses the threshold you defined.
- Results are checked against your own history first. Three months of your historical research are used to confirm the findings it surfaces match what your researchers already know is real.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to each research source, such as your transcript tool or session repository.
- Your definitions of the recurring research questions the synthesis should answer.
- At least three months of historical research sessions, so results can be checked against what your team already knows.
- The report recipients and the delivery channel, whether that is email, Slack or a dashboard.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can sign off on the finished setup.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, research sources and recurring questions confirmed.
Weeks 1–2
Finding extraction and opportunity grouping are built around your questions.
Week 3
Read-only access is connected across up to three sources.
Weeks 3–4
Results are checked against three months of your historical data.
Week 4
Your review and two rounds of changes to the report format.
Go-live
Live, recorded handoff session, 30 days of support begins.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,400 |
| Express | 15–25 working days | $4,000 |
| Rush | 10–20 working days | $4,600 |
What you receive at handover
- AI User Research Synthesis deployed in your environment
- Read-only connections to up to three transcript or recording sources
- One recurring findings report or dashboard, with up to five alerts
- A test report checked against three months of your past research
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can help research findings reach the people who make product decisions.
- Makes it easier to support decisions with direct user quotes.
- Helps researchers spend more time running sessions than writing summaries.
- Hours spent synthesising each research round
- Researchers log synthesis hours for the last round before launch. Compare with the first rounds after launch.
- Decisions that cite research
- Count PRDs or tickets that link to a research finding each quarter. Compare with the quarter before launch.
- Time from session to shared findings
- Compare session dates with the dates findings reached stakeholders, using calendar and report history.
Before you start: Record how long synthesis took for your most recent research round. Note how findings are shared today and who reads them.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Running it costs roughly $20 to $150 a month in AI model usage and hosting or scheduler costs, depending on how many sessions you run and how often the report goes out.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a monthly health report and change hours for work such as a new research source or a revised question set. It starts after the 30 days of support that come with the build, bills monthly, and can be cancelled any month.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A research repository tool charges a monthly fee per seat | A research agency quotes per synthesis project | Ours is one fixed price, shown on this page before you buy |
| Scope | A research tool is a blank repository you tag yourself | An agency agrees scope for each round of research | Ours is written on the Scope Card before purchase |
| Delivery | A research tool is live once someone sets up the taxonomy | An agency synthesis project usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Quotes | A research tool often leaves quotes buried in the raw transcript | An agency's quote selection depends on who wrote the readout | Ours keeps the supporting quote attached to every finding |
| Delivery | A research tool usually needs someone to log in and search it | An agency delivers a readout at the end of the project | Ours delivers a recurring report to your channel on schedule |
Questions about this product
How much does AI User Research Synthesis cost?
The build price for each delivery speed is shown in the panel on this page. It covers connecting up to three read-only research sources, finding extraction and opportunity grouping against your recurring questions, results checked against three months of your past sessions, and two rounds of changes. Those limits are written on the Scope Card before you order.
What kind of research material can it read?
Interview transcripts, usability session notes or call recordings from up to three read-only sources, such as your transcript tool or a research repository. Access is shared by adding our team as a user or creating a key you control, never by email, and nothing is written back, so your raw sessions and recordings stay exactly as they were captured.
How long does AI User Research Synthesis take to launch?
Delivery time for each speed is in the panel on this page. The clock starts once your intake is submitted, including read-only access to your transcript tool or research repository, your recurring questions, and three months of past sessions. Those past sessions let us check findings against research your team has already discussed.
Will findings include real participant quotes?
Yes. Every finding keeps a supporting quote from the actual session, so a claim like users struggled with the signup step is backed by the participant's own words, not a paraphrase. That makes it easier to bring findings into a stakeholder discussion without reopening the raw transcript.
How does it decide what counts as an opportunity?
By grouping related findings that recur across multiple sessions and matching them against the recurring questions you defined during intake, such as which part of onboarding causes the most confusion. It surfaces patterns across sessions rather than treating each transcript as a one-off report.
Can I add more research sources later?
A source beyond the three included, or a second delivery channel, is scoped and quoted separately as an add-on, so the cost is clear before work starts. Smaller adjustments, such as a new recurring question or a revised alert threshold, fit inside the monthly change hours in maintenance instead.
What does running User Research Synthesis cost each month?
Roughly $20 to $150 a month in AI model usage and hosting or scheduler costs, paid directly in your own accounts, scaling with how many sessions you run and how often the report is generated. We do not add a markup on top, so the running cost tracks your actual research volume.
Do I own the findings and the setup afterward?
Yes. The synthesis configuration runs on your own accounts and research tools, not ours, so there is nothing to migrate if you change platforms later. The 30 days of post-launch support cover fixing anything that does not match the Scope Card, and monthly maintenance afterward is optional.
Stop letting research findings die in the recording.
Order AI User Research Synthesis and your first findings report is ready on a fixed delivery date. The scope above is what you get, in writing, before you pay.
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