When growth is slower than expected, the instinct is often to add sales capacity. But more sellers amplify whatever already exists. If the proposition is unclear, poorly targeted or insufficiently valuable, additional activity creates more noise—not more traction.
Distinguish product validation from proposition validation
A product can perform exactly as designed and still struggle commercially. Product validation asks whether the solution works. Proposition validation asks whether a defined customer recognises the problem, values the outcome, accepts the trade-offs and is prepared to act.
Internal confidence, positive demonstrations and expressions of interest are weak substitutes for buying evidence. The strongest signals involve customer commitment: access to decision-makers, sharing operational data, investing time in a pilot, agreeing success criteria or paying for an initial deployment.
Choose a narrow learning market
Early commercial testing works best when the target is specific. A broad market creates contradictory feedback because customers have different problems, economics and decision processes. Select a segment where the problem is frequent, costly and visible—and where the solution has a credible advantage.
The aim is not to prove that every customer wants the product. It is to discover which customers care most, why they care, what prevents adoption and what proof changes the decision. That learning becomes the foundation for positioning and repeatability.
Design tests around decisions
Customer interviews are useful, but stated interest can be misleading. Combine qualitative learning with commercial tests: a paid diagnostic, limited pilot, proposal with a real price, or partner-led introduction. Each test should answer a decision question.
For example: does the problem create sufficient urgency? Which outcome earns executive attention? What proof is needed before approval? Which price structure feels credible? Define the expected evidence before the test, so interpretation is not shaped by the desire to continue.
Scale only what is becoming repeatable
Repeatability appears when similar customers respond to a consistent problem statement, progress through comparable decision steps and accept a defensible commercial model. Some variation is inevitable, but every successful deal should not require a new proposition and heroic senior intervention.
Once these patterns are visible, sales investment becomes more productive. Hiring profiles, enablement, demand generation, pipeline stages and forecasting can be built around observed buying behaviour rather than assumptions.
Questions for leadership
What to take into the next discussion
- Validate willingness to act, not only technical performance or stated interest.
- Concentrate early learning on a segment with an urgent, costly problem.
- Use real commercial commitments to test the proposition and price.
- Scale the sales engine after a repeatable buying pattern begins to emerge.
This perspective is intended as general business commentary. The appropriate commercial decision depends on the organisation, market and evidence available.