Complete planning framework
How to plan a custom data project
Use this guide for research, public-web collection, product records, cleaning, verification, or a combined project. It explains how to define one record, select fields, approve source boundaries, set coverage, establish acceptance rules, and choose a useful delivery format.
Read the custom project guide →Focused company research
How to scope company list research
Use this guide when the deliverable is a list of companies, suppliers, competitors, locations, or market participants. It explains qualifying evidence, entity identity, inclusion and exclusion rules, geography, duplicate handling, freshness, and measurable coverage.
Read the company list guide →Public-web collection
How to scope public-web data collection
Use this guide to define a record, approve source boundaries, specify fields, set coverage and stopping rules, retain provenance, handle conflicts, and establish acceptance before paid collection begins.
Read the web collection guide →CSV and Excel quality
How to define cleaning acceptance rules
Use this guide to control the target schema, normalization, duplicate logic, missing values, verification, exceptions, source preservation, and measurable release tests for a paid cleaning project.
Read the cleaning rules guide →