01 SimulationAI candidate · Senior Engineer
“I reassigned the tasks and kept the deadline.”
Interviewer training for companies
Calibrate interviewers. Train shared interview standards.
Managers and specialist interviewers practice structured questions, adaptive follow-ups, and evidence recognition against controlled AI candidate profiles before a real conversation depends on it.
10 simulations proposed pilot core30 min. per practice interviewmax. 3 weeks planned upper bound
Under Construction · Design-partner access is being prepared · Not yet an available product
Product preview
Calibrate interviewer performance concretely.
02 Signal assessmentObservation against the rubric
StructureclearOwn contributionunclearOutcome evidencemissing
03 CalibrationSuggested follow-up
Which follow-up would have established the candidate’s own contribution?
300+
Built from interview and calibration practice. The concept draws on more than 300 conducted interviews and the training and calibration of engineers, managers, and senior leaders.
The invisible hiring risk
A résumé is prepared. Many interviewers are not.
Strong interviewing is a craft: ask relevant questions, deepen answers, separate signals from impressions, and justify a decision transparently.
Improvised questions
Comparability falls when every interviewer runs a different conversation.
Unclear signals
Communication strength is easily mistaken for competence.
Too little practice
Real candidate profiles are rarely plannable or reproducible.
The calibration mechanism
Controlled candidate profiles make interview quality trainable.
The simulation keeps candidate behavior stable, revealing how well the interviewer asks, probes, and classifies signals.
- 1
Control the profile
Predefined candidates vary content, communication, and difficulty reproducibly.
- 2
Conduct the interview
The interviewer structures the conversation and decides when to probe.
- 3
Assess signals independently
After the simulation, the interviewer records observed signals and reasoning.
- 4
Compare and receive feedback
Questioning and recognized signals are compared with profile and rubric.
Grand-Slam target
From “I think the conversation went well” to defensible interviewer performance.
The pilot concept is intended to help interviewers ask systematically, recognize relevant signals, and explain assessments against the company rubric.
First pilot plan
Ten simulations. Around 15 hours. At most three weeks.
The first hypothesis combines repeated 30-minute interviews, independent signal assessments, structured feedback, and deliberate repetition.
The scope is a design-partner plan to validate, not a performance or calibration promise.
Design-partner pilot
Want to make interview quality reproducibly trainable?
We are preparing the pilot for companies that want to train interviewers systematically on roles, rubrics, and realistic conversations.
Express pilot interest →Under ConstructionDesign-partner access in preparation