Build a software shortlist around evidence, not familiarity

Familiar software is easy to shortlist because the buyer already knows its category, vocabulary, and reputation. That convenience can quietly turn brand recognition into the main selection criterion and exclude credible European products before the evaluation begins.

Begin with the job

Describe the outcome the team needs before naming products. A useful problem statement identifies the workflow, the people involved, the systems it must connect to, and the consequence of failure. “We need a CRM” is a category. “We need ten account managers to share a complete customer history without exporting personal data into spreadsheets” is a selection problem.

This framing makes unfamiliar products easier to evaluate. The buyer can compare each candidate against the same outcome instead of asking which product looks most like the incumbent.

Define the constraints that can change the decision

Most feature lists are too long. Start with the few constraints that can genuinely rule a product in or out: deployment model, relevant data locations, integrations, support languages, pricing model, portability, and internal security requirements.

Keep claims and evidence separate. A vendor statement is a useful starting point, but consequential requirements may need a current document, a technical demonstration, a contract term, or an independent review.

Preserve context in the shortlist

A shortlist should record why each product remains under consideration, where important information came from, and when it was last checked. Without that context, teams repeatedly research the same facts or treat an old assumption as current truth.

European discovery becomes useful when it expands the credible option set without lowering the evaluation bar. The goal is not to select a product because it is European. It is to ensure strong European products are actually considered—and assessed with the same disciplined questions as the familiar names.