Your EHS score tells you how your people feel about working at your organisation. It does not tell you why. And for most leaders, the why is where the useful management information lives.
Ask EHS is the explanation layer - the part of the platform that helps you understand what is behind the score. Not as a feature to lead with, but as a tool that becomes more valuable the more data you have.
Ask EHS works across the anonymised data from your check-ins. It surfaces patterns - across teams, across time, across the signals in your score - that are harder to see in the raw numbers alone.
Rather than telling you what score you have, it helps you understand the patterns that are producing that score. Which teams are moving differently from the rest? Is there a pattern in when scores tend to dip?
Ask EHS becomes significantly more useful once you have several cycles of data. With a single cycle, there is limited pattern to surface. With three or more cycles, the directional trends, team-level differences, and event-related movements start to become visible.
The questions worth asking at this stage are ones that explore movement rather than level. Not what is our score but what has been driving the movement in our score over the last two months.
Ask EHS operates on the anonymised signal layer only. It reads patterns across aggregated, anonymised data - it does not identify individuals and it does not surface identified responses even where team members have chosen to reveal themselves.
This boundary is important. The value of Ask EHS is in pattern recognition, not in individual attribution. People who know that their individual response does not feed the AI can respond with more confidence.
The most effective use of Ask EHS is as part of a regular score review habit. After each cycle closes, look at the score and the trend - then use Ask EHS to explore what is behind any movement you want to understand better.
Ask EHS is the explanation layer behind your score. It does not replace the score - it helps you understand what is producing it, by surfacing patterns across your check-in data that are difficult to see in the numbers alone. Use it after cycles close, with questions that explore movement rather than level.
Ready to see how your people feel about working at your company? Start your free cycle - no card, no commitment.
Also worth reading: What your EHS(R) score trend is really telling you