Onboarding & Activation
Activation numbers are easy to state and hard to act on. Thirty-one percent of signups reach the point where the product means something to them; the other sixty-nine leave, and the dashboard has nothing to say about why. You can see the cliff between step three and step four. You cannot see what it feels like to be standing at the top of it. The explanation exists — it is in the support tickets from confused new users, in the session where someone clicked the same button four times — but it lives in a different tool from the number.
Skynet holds both. Funnel data and the qualitative record sit in one memory, so the drop-off and the reason for it can be read together rather than in two separate meetings.
How it works
Map the real path
The agent traces the actual sequence users take from signup to first value, not the one in the design doc. The two are usually different, and the difference is where the leak is.
Find where they fall out
It measures each step and identifies the drop-offs, including the ones that only affect a slice — the self-serve accounts, the mobile signups, the ones arriving from a specific campaign. Averages hide those.
Explain it with evidence
For each drop-off, the agent pulls what new users said around that point: the tickets, the survey answers, the friction they wrote about. The number gets a cause attached to it.
Propose and test the fix
You get ranked, specific changes — this empty state, this required field, this missing prompt — with the reasoning shown. Then it can set up the test to check whether the fix worked.
Build it from a prompt
Point it at the funnel and let it do the connecting.
The result is that activation work stops being guesswork dressed up as a redesign. You change the specific thing the evidence points at, measure whether it moved, and repeat — instead of rebuilding the whole flow every year and hoping.