AI analyst
Ask your workforce anything. No training required.
Market-leading HR analytics tools need trained professionals. IntRpret needs a question. Type it the way you would ask a colleague: the analyst plans the work, runs each part on your knowledge graph, checks every figure against the result it came from, and answers with the point first.
In the product: Decision Lab
Attrition in Sales rose 2.8 points this quarter, most of it in two teams paid below their band.
Voluntary attrition by team · Q3
AI analyst, part by part.
- 01
A plan before the answer
A broad question becomes a plan of parts, each worked out and checked before the answer is written.
- 02
The answer first
The point, its figures and what to do come first; the sections follow, one tab each.
- 03
Checked figures
Every figure in an answer is checked against what the tools returned for that question; a sentence with a figure that fails the check is taken out.
- 04
Written for you
Set your persona — role, goal, tone and depth. It changes the wording, never the figures.
Ask, Plan, Work, Answer.
- Step 1
Ask
In plain English, about any part of your workforce.
- Step 2
Plan
The question is split into the parts it needs.
- Step 3
Work
Each part runs on the graph, the KPIs or a model.
- Step 4
Answer
The point first, then the evidence, with the working attached.
What every answer gives you
- Headline
- The answer in one sentence.
- Figures
- The few numbers that carry it, each with its unit and period.
- What to do
- The actions the figures point to.
- Sections
- The parts of the analysis, each in its own tab with its table and charts.
- How it was worked out
- The plan's parts and what the answer assumes.
- How we got this
- The query and records behind every chart.
Questions it answers, in your words.
- “Why is attrition in Sales higher than last year?”
- “Compare time to fill by department for the last four quarters.”
- “Where is pay most uneven within the same grade?”
On the same model and graph
Your next people decision, with the why attached.
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