Product Signal
Feature requests, missing pieces, and competitor mentions pulled out of real customer conversations, ranked by how often and how badly they come up, and delivered to your product team.
Every company has an invisible suggestion box: the wishes customers drop into support tickets and chats, one sentence at a time. Usually nobody empties it. This reads every note in the box, stacks the duplicates, and hands product a ranked pile with the customers' own words stapled to each one.
The problem, in plain words
A customer mentions, halfway through a billing ticket, that they would switch plans if you supported X. A prospect asks the webchat whether you do what a competitor does. A user sighs, wish it did X, and moves on. Each of these is a data point about your roadmap — and each one dies inside the conversation where it happened. So product plans from what it can access: PM intuition and the customers who shout loudest. Both are real signals; both are badly skewed samples of what your whole customer base actually wants.
What we set up
We run extraction over your real conversations — support, chat, everywhere you capture them — looking specifically for product signal: feature mentions, things people tried to do and could not, competitor names, and explicit wishes. Mentions of the same underlying request are grouped, then ranked by volume (how many people ask) and severity (how much it blocks them). Each item on the list carries example quotes in customers' own words, and a trend showing whether the request is growing or fading. The ranked list flows into the product tool you already use (Productboard, Linear, or GitHub), so it shows up where planning actually happens instead of in yet another dashboard.
How it works, step by step
- Customers mention things in passing
A wish in a support ticket, a competitor comparison in webchat, a could-it-do-X in a sales thread — none of it is a formal request, all of it is signal.
- Extraction picks up the mentions
Feature requests, missing capabilities, competitor names, and explicit wishes are pulled out of the conversation flow.
- Duplicates are stacked
Fifty phrasings of the same underlying want become one item with a count of fifty.
- The list is ranked
By volume and severity, with a trend per item — a growing request outranks a fading one.
- It lands in your product tool
The ranked list, with real quotes attached, flows into Productboard, Linear, or GitHub — wherever planning already happens.
What changes for you
Before: roadmap debates run on anecdotes — the loudest customer, the most recent call, the pet feature. After: product opens a ranked list of what the customer base is actually asking for, with counts, trends, and real quotes as evidence — and the quiet majority finally weighs as much as the loud few. What it won't do: it won't decide the roadmap — customers regularly ask for things that are wrong for the product, and knowing what is requested is not the same as knowing what to build.