Customer Discovery
Discovery has a recall problem. You run the interviews, you take good notes, and then the notes go into a folder. Six weeks later you are in a planning meeting arguing from the two calls you happen to remember — usually the most recent and the most dramatic. The other thirty are still sitting there, full of the pattern you needed, unread since the day they were written. Synthesis is the work everyone agrees matters and nobody has a spare afternoon for.
Skynet reads all of it at once. Interview transcripts, support threads, G2 reviews, sales call notes — held in one memory, so a frustration voiced in an interview and the same frustration filed as a ticket land in the same cluster instead of two silos.
How it works
Pull the raw material together
Connect your call recordings, your notes, your support queue, and your review sources. Skynet builds unified memory across them. Nothing needs reformatting first — the messy notes are fine.
Cluster by problem, not by keyword
The agent groups feedback around the underlying job people are failing to do. Three customers asking for an export button, a bulk API, and a Sheets sync are often one problem wearing three hats, and the clustering reflects that.
Keep the quotes attached
Every theme carries the verbatim quotes that formed it, with the customer and the date. You can check any claim in one click, which is what makes it usable in a room full of skeptics.
Watch it change over time
Run it on a schedule and the agent flags what is new: a theme that has doubled since last month, or one that quietly disappeared after you shipped something.
Build it from a prompt
One instruction sets up a discovery loop that keeps running after your attention moves on.
The result is that discovery becomes cumulative instead of disposable. Every call you run makes the picture sharper rather than adding one more file to a folder nobody opens.