> ## Documentation Index
> Fetch the complete documentation index at: https://support.yena.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Refining a search

> Suggestions, the refine chat, and the market read: what to do after the first shortlist.

A finished search is a starting position. The Sourcer gives you three levers to sharpen it, all on the search page.

<Frame caption="Suggestions, learning status, and market read next to the shortlist">
  <img src="https://mintcdn.com/yena/20dAbHOsJ0Qae_Fx/images/screenshots/sourcer-calibrate.png?fit=max&auto=format&n=20dAbHOsJ0Qae_Fx&q=85&s=f6e1157ed9f6647db85b6b5ae2e84b5c" alt="SourcerPro side panel with suggestions and market read" width="1770" height="823" data-path="images/screenshots/sourcer-calibrate.png" />
</Frame>

## Suggestions

The Sourcer proposes concrete refinements based on what it found ("Focus on Kundendiensttechniker", "Include Facility Management"). Tick what fits and send: a refined run starts with those constraints applied.

## The refine chat

Anything you'd say to a researcher, you can type into **Ask to refine the search**: widen the radius, drop an industry, weigh certifications higher. Sending starts a refined run against the same mandate.

## The market read

Every search comes with an honest read of the pool: how strong the match rate is, which competitor companies the talent sits in, and whether you can go straight to screening. A thin pool is stated as a thin pool, which is exactly what you want to know before you promise a client numbers.

<Note>
  Reviewing candidates with Yes / Maybe / No feeds the same engine: after a handful of reviews the Sourcer recalibrates the ranking with confidence. See [Calibrating results](/en/sourcer/calibrating-results).
</Note>