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AI for Product

OKR & Goal Tracking

There is a familiar rhythm to quarterly goals. You spend a day writing them, everyone agrees they are the right goals, and then the document goes quiet for eleven weeks. At the end, someone pulls the numbers, discovers KR2 has been flat since April, and writes a paragraph explaining it. The information that would have saved the quarter existed the whole time — it just lived in a dashboard nobody was assigned to watch.

Skynet watches it. Each key result gets connected to its real source, and the agent tracks the trajectory rather than the endpoint. The question stops being “did we hit it” and becomes “are we on pace, and if not, what changed.”

How it works

step 01

Wire each KR to real data

Connect the metric behind every key result — activation from your analytics, revenue from your billing system, adoption from your product events. No more self-reported percentages that mean whatever the reporter wants.

step 02

Track pace, not just position

The agent measures where you are against where you need to be by now. Sixty percent in week ten is a very different story from sixty percent in week four, and the report says which one you are living in.

step 03

Connect goals to the work

It maps roadmap items to the KRs they are meant to move, which exposes the awkward stuff: a KR with nothing behind it, or a big initiative that serves no stated goal.

step 04

Flag drift while it is still fixable

When a KR falls off pace, the agent tells you that week, with what it looked at. Early enough to change the plan rather than explain the result.

Build it from a prompt

Set the goals up once at the start of the quarter and the tracking runs itself.

By the end of the quarter, the review is not an archaeology exercise. The trend has been visible the whole time, the misses were called early, and the conversation is about decisions rather than about who forgot to update the sheet.

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