From mandate to client dossier

Every step creates a trace. You finish with an explained candidate selection and dossiers ready for review.

  • The mandate becomes the reading grid
  • Every assessment keeps its source
  • Client dossiers ready to review
Norvia Analytics/Senior data scientistLive

Animated illustration with fictional data: Mandate, CV batch, Matching, Dossier.

Mandate open

The mandate becomes the review framework

Criteria, priorities and non-negotiable points are made explicit before CV review begins.

  • Explicit criteria — Must-haves, preferences and exclusions confirmed by the recruiter.
  • Observable expectations — Each criterion is written so that it can be found in a CV or checked in an interview.
  • A grid you can consult — The reading grid is visible before any ranking, and stays visible during the review.
Norvia Analytics/Mandate

Animated illustration with fictional data: Client brief, Reading grid.

Screening in progress

Sources remain connected to every assessment

The CV, criterion and supporting extract stay together while profiles are compared.

Step 1 of 6

Every transformation retains its source.

  1. Mandate

    Criteria are made explicit before screening.

  2. CV

    Sources remain connected to the original document.

  3. Screening

    Every assessment points back to a criterion.

  4. Evidence

    Relevant extracts are quoted and located.

  5. Interview

    Open points become questions.

  6. Dossier

    The recruiter reviews it before client delivery.

Try the interface

From matching to a decision, in one interview sheet.

Explore the five tabs of your interview workspace. Each screen follows the BRAIN HR interface with a fictional candidate.

Demonstration · fictional data · Thomas Renaud
BRAIN HRBRAIN HR+
Norvia AnalyticsENAM
Interview workspaceDemonstration · fictional data

Thomas Renaud

Project · Senior data scientist

Project
Senior data scientist
Matching runs
Current matching
Decision
Decision pending

Candidate profile

Candidate identity, profile summary and recruitment context.

Profile summary

Data scientist with 6 years of experience in Python, SQL and deploying predictive models.

Key points

Python and SQL used in production projects.

To explore: personal ownership of model deployment.

Recruitment context

Develop predictive models and support their deployment to production.

PythonSQLMLOps
Demonstration · fictional dataThomas Renaud · Norvia Analytics

Spot career gaps and overlapping experiences.

Compare the dates in a CV, locate uncovered months and identify experiences that share the same period. Each point becomes a question to clarify with the candidate.

Explore Thomas’s timeline: 8 months without a listed experience and 4 months shared by two roles.

Career timeline analysisThomas Renaud · CV experience dates2 points to clarify

No experience listed for 8 months

Jul 2024 — Feb 2025

Kora SystemsSept 2020 — Jun 2024Lumen RetailMar 2025 — present

Kora ends in June 2024. Lumen starts in March 2025. The months in between are not covered in the CV.

Question to ask in the interview

Could you clarify your professional timeline between July 2024 and February 2025?

An unlisted period does not establish inactivity.

Dossier delivered

The output is a reviewable dossier

Selected profiles, evidence, reservations and the Company CV remain available before anything is sent to the client.

NNorvia AnalyticsCandidate presentationPrepared with BRAIN HR

Thomas Renaud

Senior data scientist · 6 years of experience

Draft✓ Approved

Mandate context

Develop predictive models and support their deployment to production.

Directly relevant experience

Developed forecasting models in Python and SQL pipelines for a product team.

E1 · CV page 2

Item to confirm before delivery

Personal ownership of model deployment.

✓ Confirmed in interview

Deployment prepared with the platform team; model monitoring owned personally.

AI interview · 06:06
AMApproved by Amélie M. · recruiter
Sources kept in the dossier · E1, E2Synthetic example

See the whole chain on your own mandate.

Describe a requirement in a few minutes. No CV or candidate data is requested.