How to search your recruitment CRM before starting from zero.

Write a search brief before touching the filters

Translate the job into the evidence you expect to find in a candidate record. Job titles matter, but so do responsibilities, environments, qualifications, systems, clients, project types and progression.

Mark each item as required, useful or confirm later. This stops an uncertain detail from becoming a hard filter and gives the recruiter a clear way to explain why a result made the review list.

• Required: facts that genuinely rule a candidate in or out
• Useful: signals that increase relevance but have alternatives
• Confirm later: availability, interest, salary and other time-sensitive details

Know where candidate evidence lives

Most recruitment systems contain both structured and unstructured data. Structured fields include location, skills, status and job titles. Unstructured evidence lives in CV text, notes, emails, call summaries and interview feedback.

A search that only checks clean fields may miss candidates whose useful experience is recorded elsewhere. A search that checks every text field without review may return noise. Decide which sources are trustworthy for each requirement.

Run a broad discovery pass

Start with the central skill or outcome and a small number of alternatives. Use common title variations, abbreviations and adjacent sectors. Keep location and date filters loose until you can see the shape of the database.

Look at a few results before adding more conditions. If the right people appear for unexpected reasons, update the brief. If obvious candidates are absent, check whether the relevant information is stored under different wording or not recorded at all.

Refine one condition at a time

Add constraints in a sequence so you can see which condition removes useful results. Location, recency, status and exact titles often have more data gaps than recruiters expect.

Save the search logic when the system supports it, but record the purpose in plain language too. A colleague should understand what the search is trying to find without decoding a long query.

Review why each result matches

Open the strongest records and find the supporting evidence. A keyword may appear in a course list, an old job description or a note that says the candidate lacks that experience. Context changes the meaning.

Write a short review reason for each retained candidate. This creates a handoff another recruiter can challenge and reduces the risk that a ranked result is treated as a verified fact.

Add relationship and timing context

After skill fit, check the relationship. Review the last conversation, previous submissions, reasons for withdrawal, placement history and recorded preferences. Confirm whether another consultant owns the relationship or has an active conversation.

Current interest cannot be inferred from an old status. Use the record to make the next conversation more informed, then verify what has changed directly with the candidate.

Use every search to improve the database

Search problems are data-quality signals. If relevant people are hard to find because titles, locations or outcomes are inconsistent, agree a small update recruiters can make during normal work.

Prioritise fields that change future decisions. A concise note explaining what the candidate wants next is usually more useful than adding several broad tags with no context.