This page shows how Ainolabs Assumptions can support product analysis and decision-making.
The first use case is a competitive analysis of two products. The example compares two mid-range cars in the UK market, specifically Skoda Superb and VW Passat offerings.
Underlying assumptions are based on market-facing material – brochures. They reveal the intent of these two VAG brands. Comparing the intents gives the stakeholders – Product Manager, analyst, journalist or prospective purchaser – a summary view of the intended key differentiators.

Ainolabs Assumptions helps any planner, manager or analyst to discover and manage explicit and implicit assumptions in their business.
For professionals, this comparison can help:
- Car dealers position their messages when comparing competing models.
- Product managers and planners clarify assumptions behind future models.
- Industry analysts assess brand positioning, including potential risks and opportunities.
The same comparison can also help consumers make a more informed choice between the models.
Assumptions turn into observations and evidence through actions. These are an essential part of the universal cycle:
This cycle is fundamental to learning and decision-making in business, science and public policy.
This UK comparison of the VW Passat and ŠKODA Superb includes the assumption collections for both models and the comparison itself: VW Passat, Skoda Superb and the comparison.
The materials and dates differ. This is an analytical comparison, not a direct product – to – product review.
Ainolabs develops tools that uniquely support organizations in applying this cycle systematically: discovering assumptions, linking them to actions and evidence, tracking their validity, and using the resulting conclusions to navigate change.
This leads to informed decisions and robust action:
Actions that perform well across a range of plausible futures.
Register here to explore Ainolabs Assumptions in your work.
