Discovery & Planning
AI Feedback Synthesis
Groups product feedback from every channel into ranked themes.
Discovery & Planning
AI Feature Request Triage
Incoming feature requests deduplicated, categorized and linked to the customers who asked, ranked and delivered on schedule.
Feature requests arrive through support tickets, sales calls and feedback inboxes, each phrased a little differently. The same ask shows up in many forms, and nobody remembers who wanted it. This triage build merges duplicates, sorts every request into your categories and links it back to the customers who raised it. A ranked report lands on schedule, and your team still makes every roadmap call.
- Duplicate requests merged even when worded differently
- Every request linked to the customers who asked
- A ranked report your team can plan from
$3,400
20–30 working days
Optional maintenance $249/mo
What it is
AI Feature Request Triage reads incoming feature requests from your support and feedback tools, merges duplicates that were phrased differently, sorts each one into a category, and links it back to the customer who asked. It delivers a ranked report so no request gets lost across several threads.
Why businesses buy it
When requests sit scattered across tools, product teams guess at demand. Popular asks get counted once, important customers go unheard, and sales keeps promising features nobody tracked. Triage gives you one clean list, deduplicated and categorized, with the customers behind each request attached. That makes prioritization a discussion about evidence and lets you tell customers when their request ships. The Scope Card fixes the sources, categories and report before you order, so the build has clear limits and a known outcome.
Problems this solves
The same feature request arrives many times in different words
The triage reads requests from up to three read-only sources and merges duplicates that were phrased differently. Your report shows one request, with every customer who asked linked to it.
Requests get lost across support threads and old feedback forms
Requests from your support and feedback tools are pulled into one ranked report. Each is sorted into a category, so nothing sits forgotten at the bottom of an old thread.
You cannot tell which customers wanted the feature you just shipped
Every merged request stays linked back to the customers who raised it, wherever they asked. When something ships, the triage report shows exactly who to tell about it.
Roadmap talks favor the newest request rather than the most common
The ranked report orders requests by how often they appear across your sources. Up to five alerts can flag a request that is suddenly gaining momentum.
A good fit if
The same feature gets requested repeatedly under different wording, and your team currently has no reliable way to see that it is one request, not five.
You want requests categorized, such as by product area or request type, and linked to the account that asked, so a sales-critical request does not get buried.
You already have a ticketing or feedback tool, such as Intercom, Zendesk or Jira, where these requests already land, and want triage layered on top rather than a new inbox.
You want a ranked, recurring report delivered to email, Slack or a dashboard, rather than reviewing the raw request list manually every week.
Not the right fit if
You want general sentiment and satisfaction themes, not specifically feature requests sorted and deduplicated. See AI Feedback Synthesis.
You want the ranked requests turned directly into drafted specs and backlog tickets. See AI Product Manager Agent.
You need the roadmap itself communicated to stakeholders, not just the requests feeding it. See AI Roadmap Assistant.
You need feature request triage 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
- Requests are pulled from up to three sources. Support tickets, chat transcripts or a feedback inbox, connected as read-only so the original tickets stay untouched.
- Duplicate requests are merged, not just counted. Different wording for the same underlying ask, such as export to CSV and download my data, is recognized as one request rather than two.
- Each request is sorted into a category. By product area or request type, using the metrics and definitions you set during intake, so the categories match how your team already thinks about the backlog.
- Requests are linked back to who asked. The customer or account behind each request stays attached, so a request from a key account is visible as such, not anonymized.
- A ranked report is delivered on schedule. To email, Slack or a dashboard, with up to five alerts for a request category that is rising fast.
- Results are checked against your own history first. Three months of your historical requests are used to confirm the categories and rankings match what your team already recognizes.
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 source where feature requests land.
- Your definitions of the categories or request types you want requests sorted into.
- At least three months of historical request data, so results can be checked against what you already know.
- 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, request sources and categories confirmed.
Weeks 1–2
Deduplication and categorization logic are built around your definitions.
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 Feature Request Triage deployed in your environment
- Read-only connections to up to three support or feedback sources
- One ranked report or dashboard on your chosen channel, with up to five alerts
- A test report checked against three months of your historical requests
- An admin guide and a recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can give product managers one clean, ranked list of requests.
- Makes it easier to close the loop with customers who asked.
- Helps roadmap discussions start from demand rather than anecdotes.
- Duplicate requests in your tracker
- Count requests describing the same need in your tracker before launch. Repeat the count each month after launch.
- Customers told when their request ships
- Count follow-up messages sent to requesters after each release. Compare the quarter before launch with the quarter after.
- Weekly time spent sorting requests
- Product managers log hours spent triaging for a month before launch. They repeat the log a month after.
Before you start: Count open feature requests in each tool today and estimate how many repeat each other. Note the weekly hours spent sorting 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 request volume and report frequency.
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 for this build covers change hours for things such as a new category or a revised alert threshold. 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 product feedback tool charges a monthly fee per seat or source | A product consultant quotes per triage project | Ours is one fixed price, shown on this page before you buy |
| Scope | A feedback tool is a blank board you tag yourself | A consultant agrees scope for each engagement | Ours is written on the Scope Card before purchase |
| Delivery | A feedback tool is live once someone sets up the tagging rules | A consultant project usually takes several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
| Duplicates | A feedback tool usually lists each mention separately | A consultant's merging depends on who reviewed it | Ours merges differently worded requests into one |
| Customer link | A feedback tool often loses the account behind the request | A consultant's linking depends on what was scoped | Ours keeps every request tied to who asked for it |
Questions about this product
How much does AI Feature Request Triage cost?
The build price for each delivery speed is shown in the panel on this page. It covers connecting up to three read-only sources, deduplication and categorization against your own definitions, results checked against three months of your history, and two rounds of changes. The Scope Card lists those limits, and anything extra is quoted in writing first.
How does it know two requests are actually the same?
It reads the substance of each request rather than matching exact wording, so a request for export to CSV and one for download my data as a spreadsheet are recognized as the same underlying ask. Merged requests keep a count and a link back to every customer who raised that version of it.
How long does AI Feature Request Triage 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 each source, your category definitions and three months of past requests. That history matters, because it lets us check merging and categories against requests your team has already sorted by hand.
What sources can it read requests from?
Up to three read-only data sources, typically your support or ticketing tool such as Zendesk, Intercom or Jira, plus a feedback inbox if you have one. Access is shared by adding our team as a user or creating a key you control, never by email, and nothing is written back to the source system.
Does it prioritize the roadmap for me?
It ranks and categorizes requests using the definitions you set, such as volume or which accounts asked, so your team can prioritize with a clearer picture. It does not make the prioritization decision itself. If you want requests turned into drafted backlog items, see AI Product Manager Agent.
Can I add more sources or categories later?
Small adjustments, such as a new category or a revised ranking rule, fit inside the monthly change hours included with maintenance. A source beyond the three included, or a second delivery channel, is scoped and quoted separately as an add-on rather than folded into monthly hours, and you approve that cost first.
What does running Feature Request Triage 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 request volume and how often the report runs. We do not add a markup on top, so running costs track your actual usage rather than a flat monthly fee.
Do I own the triage setup afterward?
Yes. The categorization and reporting configuration runs on your own accounts, not ours, so there is nothing to migrate if you change tools 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 losing the same request across five different tickets.
Order AI Feature Request Triage and your first deduplicated, ranked report is ready on a fixed delivery date. The scope above is what you get, in writing, before you pay.
Works well with
Discovery & Planning
AI Product Manager Agent
Synthesises feedback, drafts specs and maintains the backlog.
Discovery & Planning
AI Roadmap Assistant
Keeps the roadmap current and explains trade-offs to stakeholders.