Behavioural Intelligence

Your people
are already
telling you
everything.

Surveys ask what people think they do. Behavioural data shows what they actually do — in real time, without interrupting a single meeting.

Pseudonymize data Calculate risk score
0 PII
no personal data
ever processed
GDPR
Art. 4(5) aligned
pseudonymization
k-anon
configurable
group threshold
Live communication signals
Response latency
73%
Cross-team reach
58%
After-hours ratio
34%
Async/sync balance
81%
Network centrality
47%
Collaboration depth
66%
Engineering · Team Orion — Response latency increased 2.4× over 3 weeks. Cross-team messages dropped 61%. Pattern consistent with pre-attrition disengagement.
01 / Why passive

The survey
is already too late.

01
People can't self-report what they don't notice
Burnout, disengagement, and collaboration breakdown happen gradually. By the time someone answers a quarterly pulse survey, the pattern is months old. Passive signals surface the drift as it happens.
02
Survey fatigue distorts the data you rely on
Response rates below 60% make results statistically unreliable. The employees least likely to respond — those disengaged or burning out — are exactly the ones you need signal on most.
03
Behavioural data is continuous, not quarterly
Every message sent, every channel joined, every after-hours notification is a data point. Analysed in aggregate across pseudonymized cohorts, these signals become a living map of organisational health.
04 / How it works

From Slack export
to insight in minutes.

Step 01
Upload your HRIS & Slack export
Drop your Slack ZIP and HRIS CSV. Everything runs in your browser — nothing is transmitted.
Step 02
Pseudonymize automatically
Salted SHA-256 hashing replaces every user ID and channel name. No PII survives the pipeline.
Step 03
Score your privacy risk
Adjust k-anonymity, org size, and data dimensions. The risk/utility score updates live as you tune controls.
Step 04
Download & analyse
Export the anonymized ZIP and compliance report. Feed it into your preferred analytics environment.
Open the tool

Two entry points.
Same pipeline.

Start with the risk score or go straight to pseudonymizing your communication data.

Calculate risk score Pseudonymize behavioural data