Most hiring fails before the first interview. The role is never properly scoped — the job description is a wish list copied from a similar posting, and no one has agreed on what success in the seat actually looks like. Then the interviews compound it: each interviewer improvises their own questions, everyone forms an impression, and the debrief becomes a contest of confidence rather than evidence. Decades of research say unstructured interviewing is the least predictive way to hire — and the most exposed to bias. The fixes are well understood but rarely adopted, because scoping a role and building structured guides is slow, skilled work that most teams never make time for.
I built an app that does both in minutes instead of days.
It starts where hiring should start — scoping. The app works with the hiring manager to define what the role actually is, folds in the company's values and culture, and drafts the job description from that, rather than the other way around. Then it builds the interview kit on top:
- A scoped job description Grounded in what success in the seat looks like, not a copied wish list.
- A competency model The handful of things that predict success in this role at this company, blending the demands of the job with the values the company actually hires for.
- Calibrated questions Behavioral and situational questions mapped to each competency, with follow-up probes.
- Scorecards Anchored rating scales describing what a weak, solid, and strong answer looks like, so interviewers rate evidence, not vibes.
- Interview guides for the whole hiring team Each interviewer gets their own guide, so the panel divides the competencies instead of everyone asking the same three questions.
Everything downstream inherits from the scoping. Because the competencies come from an agreed definition of the role — and from the company's own values, not a generic culture checklist — the questions test the right things and the scorecard anchors mean the same thing to every interviewer. Claude generates each kit on the spot, tailored to the specific position: a staff engineer and an account executive get genuinely different competencies and questions, not the same template with the title swapped.
Every candidate for a role gets the same questions and the same rating anchors — that's what makes the loop fairer, everyone measured against one bar, and faster, because no one is reinventing it req by req.
Give it a role — even a fuzzy one — and the hiring team walks away with a defensible job description, a shared bar, and a guide in every interviewer's hands in minutes: the kind of alignment that usually takes days of calibration meetings to produce.
This one you can try yourself: run the app live with a role you're actually hiring for. Or if you'd like to talk through how it fits your process, email me.