Method · Anara
What the market hides
Three profiles in four do not answer job ads. They are in post, invisible to algorithms, out of reach of the usual tools. The Anara method starts from that finding and builds a different approach: signal by signal, territory by territory.
- Visible market
- 25% of qualified profiles
- Hidden market
- 75% in post, silent
- Levels of signal
- 4, from declaration to proof
- Territories
- Data · IT · Industry · Supply chain
Three profiles
in four never
declare themselves.
The visible market, meaning job boards, CV databases and active candidates, accounts for less than 25% of qualified profiles. The other 75% are in post, satisfied, silent. They move on a particular signal, not on a job ad.
75%
of qualified profiles are not actively looking
58%
of hard-to-fill searches fail at the sourcing stage
3×
longer on average than a standard, non-scarce role
25%
of profiles found have no trace at all on job boards
3/4
undeclared profiles
Method
Four levels of signal
Each level reveals different profiles. The first three are open to anyone. The fourth takes time, expertise and patience. That is where the best people are.
01
Declared
Open to opportunities
They ticked the LinkedIn box. They answer InMails. They are in the CV databases. Everyone sees them, everyone writes to them. They are saturated, and they know it.
02
Implicit
Signs of mobility
They follow job posts. They updated their skills. They changed their photo. They said nothing, but something has started to move.
03
Behavioural
Observable activity
They speak at conferences, ask questions in specialist threads, publish critical thinking. Their presence reveals both their expertise and their disposition.
04
Proof of work
Trace of real skill
They migrated that system to production. The commit is public. The project was deployed. The article is signed. The proof is there, for anyone who knows how to read it.
Seven profiles in ten show up at the intersection.
The profiles we look for do not belong to a single territory. The target is not the data scientist; it is the data scientist who understands a non-data industrial environment. The intersection is rarely visible. It has to be mapped.
Direct search, in French →Case notes
The method under test
Two assignments chosen for what they teach about method. No names. No logos. What matters is how the problem was thought through.
Case A · Invisible profile
Senior data architect in a non-data scale-up
Six months of inbound without a credible application. The role combines cloud architecture and product culture, two worlds that rarely meet. Sourcing by proof of work: conference talks, open-source projects, technical articles. Thirty-eight names identified, twelve approached. Hired in fourteen weeks, a profile with no activity on job boards.
Case B · Saturated market
Senior demand planner, confidential replacement
Confidential replacement of a key role. No posting possible. The profile worked for a direct competitor. A market of about thirty profiles in France. Market mapping first, before any contact. A quiet approach through a shared circle of trust, without naming the client before an NDA. Signed in four months, with no leak. The competitor learned of it from the market, not from social media.
Hiring in France for a profile that will not come?
An email, a call, a fifteen-minute brief. A written answer from Pierre-André within 48 hours, free and with no commitment. If we are not the right partner, we will say so.