gezel Gezel Handboek

Enrich a Leads List

Take a raw leads or contacts list and enrich each row with derived and looked-up attributes — company domain, industry, size band, role seniority, normalized location, and a quality/score flag — into a clean CRM-ready file. Scopes the enrichment fields, their sources, and the dedup/normalization rules FIRST, then enriches each lead row-by-row, then verifies coverage, that nothing was fabricated when a source had no data, and that duplicates are merged. Defining 'what each field means and where it comes from' before enriching is what stops a small model from inventing plausible-but-false company data.

How it runs

#StepWho runs itWhat happens
1Scope the enrichmentPlannerfields, sources, dedup + normalization rules
2Enrich each leadDeveloperderive, look up, normalize, and flag each row
3Verify the enrichmentReviewercoverage, allowed values, no fabrication, dedup
4EvaluateReviewerGrade the deliverable against every acceptance criterion. All pass → finish; any fail → loop back and fix the gap.
5FinishDeveloperAll acceptance criteria met. Stamp a short summary and report DONE.

Say something like "enrich my leads" or "clean up a contacts list" or "add company info to leads" or "enrich a CRM export" or "fill in missing lead fields" in chat to start it.

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