How to evaluate a design agency’s domain knowledge

Domain knowledge shows in the questions a design agency asks about your data and your users.

Portfolio images show visual skill. A conversation about one of your workflows shows the rest.

Summarize with:

Key facts

  • Domain knowledge shows in questions about data, roles and exceptions.
  • Portfolio images show visual skill.
  • A conversation about one of your workflows is the most direct test.
  • Proposals that open with visual style are a warning sign.
  • In manufacturing software, terms such as lot, BOM, routing and work order are a quick check of vocabulary.

Questions to ask

  • How would you handle partial completion, rework or a short pick in our product?
  • Which roles would you design for first, and why?
  • What would you need from our engineers before drawing screens?
  • Can you describe a design decision that changed a data model?
Relevant expertise
Evaluate the team’s domain knowledge alongside completed projects and design expertise.

What good answers include

Question A good answer mentions
Partial completion, rework, short picks A path for the exception, how it is recorded, and what happens to the record afterwards
Roles to design for first Who uses the product daily, and which role’s errors cost the most
What they need from engineers The data model, the component library, build constraints
A decision that changed a data model A concrete case, with what was missing and what changed

Warning signs

  • Proposals that open with visual style
  • No questions about how records relate to each other
  • Committed estimates without explicit scope or assumptions
  • Every example from consumer apps
Practical check
Running the conversation

Pick one workflow that your users find hard, and walk through it with real data in a test account. Note which questions the design team asks before suggesting anything. A team that knows the domain asks about records, roles and exceptions. A team that does not asks about colours and layout first.

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