Prepare sample data that reveals real requirements

Use representative invented or anonymised records to expose missing rules and improve software demonstrations and estimates.

Product samples and varied record cards prepared beside a tablet.

Sample records help a supplier understand the shape of your business far more quickly than a blank form. The most useful sample set includes normal work, variation and awkward cases. It should reveal meaningful structure without unnecessarily exposing customer details. Preparing it is also a chance to find rules that exist only in staff members' heads.

Choose variety deliberately

A hypothetical Wagga Wagga parts repairer could include a new request, a repeat request, a job with several items and a job waiting on information. Ten nearly identical records may teach less than a smaller set with distinct characteristics. Explain why each example matters. Include realistic text lengths, optional values and combinations that staff actually encounter. If a sample is invented, make it plausible enough to test the workflow while clearly identifying it as an example.

Preserve relationships and meaning

Replacing names is not enough if you accidentally remove the relationship the software needs to understand. A business might have several sites, each with different contacts, or one job might produce several service visits. Keep those structures visible in the sample. Add a short note explaining any convention that is not obvious. The supplier should be able to distinguish an intentionally blank value from missing preparation, and a repeated identifier from an accidental duplicate.

Include uncomfortable examples

Show records that do not fit the neatest version of the process. The repairer might have a request with no model number or an item description longer than expected. These examples can influence requirements for searching, clarification and review. The tradeoff is between representativeness and overwhelming the project with historical anomalies. Mark whether an awkward case is still part of current work or belongs to a retired process so the team does not build unnecessary support for obsolete habits.

Turn the sample into a shared reference

Use the same records in prototypes, supplier demonstrations and acceptance discussions. Record expected outcomes so a sample is more than a collection of fields. Your next scoping step is a small, labelled pack containing each scenario, its data, its unusual characteristics and the result staff expect. Have someone who performs the work review the pack. Update it when a new rule is discovered, and keep real production records separate from these planning materials.

Planning checklist

  • Choose records with meaningful variation.
  • Preserve relationships while removing unnecessary details.
  • State the expected result for every scenario.

Discuss your software project with 110s

Related Insight