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AI for HR

Engagement & Pulse Surveys

Here is the familiar cycle. The engagement survey goes out once a year. Six weeks later a deck arrives with a number that moved two points, a heat map, and a word cloud. Everyone nods. The free-text responses — the only part that actually says anything — get sampled, because there are nine hundred of them and nobody has three days. Two quarters later a team falls apart and someone digs up the survey and finds that they had said so, in question fourteen, in their own words, and nobody read it.

The failure is not the survey. It is the latency and the reading. Skynet closes both: it runs short pulses at a cadence you set, and it reads every free-text answer rather than sampling them.

How it works

step 01

Set the cadence and the questions

Decide what you are tracking and how often you want to ask — a short monthly pulse, a deeper quarterly, whatever your team will actually answer. The agent handles the sending and the reminders so the operational overhead stops being the reason it does not happen.

step 02

Read the words, not just the scores

The free-text is where the signal is. The agent reads all of it and clusters what people are saying into themes, with the anonymized responses behind each one, so a theme is something you can go read rather than a label you have to trust.

step 03

Watch for movement

Absolute scores are less useful than deltas. The agent tracks each team and each theme against its own history, and flags where sentiment has moved — a drop on one team, a theme that has appeared out of nowhere in the last two cycles. Movement is the early warning; the level is not.

step 04

Protect the small groups

Under a threshold you set, results stay aggregated up. If a team is too small for the responses to be anonymous, the agent does not report on it separately. Confidentiality is not a nice-to-have here — it is the thing that determines whether the next survey gets honest answers.

Build it from a prompt

Set it up once and it runs on its own cadence.

You find out that something is wrong on a team while it is still a conversation with a manager, not after the third resignation. The free-text finally gets read — all of it, every cycle — which means people asking for something get heard rather than sampled. And because the cadence is short, the feedback loop is close enough that answering the survey feels worth doing.

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