Context
Recruiting means comparing people met several days apart, based on notes scribbled on the fly and impressions that fade fast. By the end of a round of interviews, the notes are scattered between a notebook and a file, the memory of the first candidate is already blurry, and the decision naturally leans toward the last person met or the most likeable one. Intuition keeps its place, but it should not be the only judge.
Operational Challenge
- Scattered context: The job description, the selection criteria and the candidate record live in separate documents, never in front of you at the right moment.
- Inconsistent notes: Every interview is written up differently, which makes comparing candidates nearly impossible.
- Time-consuming CV screening: Pulling the essentials out of a stack of CVs takes hours before the first interview even starts.
- Decisions that are hard to trace: The final choice is difficult to justify afterwards, for lack of a shared grid and a structured history.
Solution Architecture
The recruitment interview tool brings together in a single application the company profile, the positions with their selection criteria, the candidate records and the interview sheet. During the conversation, the full context stays on screen next to the scoring grid. Each criterion gets a score from 0 to 10 and a weighting specific to the position, and the overall ranking recalculates live. The AI reads CVs, suggests an identity for you to validate, and writes profile and interview summaries in each reader’s language. Data stays local and the code is open.
Safeguards and human validation:
- The AI suggests, the recruiter decides: no data extracted from a CV is saved without validation, and any generated text remains editable.
- The ranking rests on your scores and your weightings, never on the machine’s opinion.
- Every evaluation leaves its trace: scores, remarks and summaries stay available to justify the decision.
Rollout Plan
- Pilot: Run a real recruitment with the tool, defining the criteria and their weightings for the position.
- Recruiter training: Get comfortable with the interview sheet and the AI assistance features.
- Phased expansion: Extend to other positions and adapt the criteria per role.
- Continuous improvement: Refine the weightings and the grid as recruitments go by.
Measurable Impact
- Decisions less dependent on intuition and on the order of the interviews.
- Fair comparison of candidates on a shared, weighted grid.
- Less preparation time thanks to automatic CV summaries.
- A traceable history that documents every hiring decision.
Next Step
Want better-structured interviews without weighing down your process? Contact us to discuss your context and pilot options.