SolutionsRunning the team
Your best rep knows something. Nobody can write it down.
One person on the team consistently finds the real economic buyer while everyone else sells to the person who answered. Asked how, they say something true and useless, like "you get a feel for it". You cannot hire that feeling and the playbook cannot hold it, so it leaves when they do.
01What is really happening
The knowledge is real. The format is the problem.
What a top rep has is a calibrated prior built from hundreds of accounts: in this industry, at this size, the person who actually signs tends to sit here. That is a statistical belief, not a personality trait. It fails to transfer because prose is a bad container for a prior, so it goes into a slide as advice and dies there.
- Generic methodology tells you an economic buyer exists, not who it is here.
- Advice cannot carry the counts that made it trustworthy.
- Every new hire rebuilds the same prior from scratch, slowly.
02What Adrata reads
Your own won deals, as evidence about who decides.
Closed-won history encodes ground truth about which title was genuinely the economic buyer or the champion. Adrata turns that into a per-workspace prior, smoothed so a single deal cannot become a rule and isolated so it only ever learns from your own history, and carries the count with it as provenance.
- "Economic Buyer in three of your last eight wins in Fintech", with the count shown.
- A prior that has to be earned by real history before it carries weight.
- It boosts and explains a role, never silently overrides the classifier.
03The move
Give the new hire the veteran’s prior on day one.
A rep in their second week sees the same proof-backed read on who decides that took your best rep four years to develop. The instinct becomes an asset the company owns rather than one it rents from whoever has not resigned yet.
- The likely decision-maker, with the history that justifies the call.
- Ramp measured against evidence rather than against confidence.
- A prior that updates as you win, without anyone rewriting a playbook.
The model behind it
You should be able to argue with the recommendation.
A move you cannot interrogate is a move you will ignore the first time it is wrong. These are the models doing the work in this scenario.
Priors learned from your own wins
In your business, who actually turns out to be the decision-maker?
Closed-won history records which title was genuinely the economic buyer or champion. That becomes a per-workspace prior, smoothed so one deal cannot become a rule, weighted by how much history stands behind it, and isolated so a workspace only ever learns from itself. It carries its own provenance: "Economic Buyer in three of your last eight wins in Fintech".
The right to say nothing
Is there enough evidence here to justify a recommendation at all?
Learned components stay inert until they beat the simple heuristic on held-out data, and every model has a floor below which it abstains rather than guessing. On a new workspace the honest answer is often "not yet", and the system is built to say so instead of manufacturing confidence.
Causal uplift, not correlation
Did the action cause the outcome, or did the good deals just get more attention?
Treatment effects are estimated with propensity weighting and doubly-robust estimators, adjusting for deal size, buyer-group size, whether the deal was intro-sourced, whether it was an existing customer, and known competitive pressure. Estimates that have not been adjusted for confounders are quarantined so they can never be presented as a cause.
Where it runs
The surfaces this scenario uses.
Who this is for