How can key assumptions help you with your market research?

Key Assumptions are fundamental beliefs or hypotheses about market dynamics, trends, or behaviors that guide the collection and interpretation of data and inform strategic decision-making.

Document underlying beliefs or hypotheses that guide the data research from a market scan, over a market maturity analysis and ecosystem health analysis to a blind spot analysis.

Document underlying beliefs or hypotheses that guide the research strategy and methodology

FAQs

Building Market Intelligence is an iterative process. As you will progress in the research, you will notice that key assumption become more concrete, testable and verifyable. Don't get stuck at the start of your research by defining all key assumptions. Be pragmatic and let Minerva guide you through the process. Explore the market to gain a better understanding of the market dynamics and add key assumptions as you uncover the risks and opportunities.

Risky assumptions are those assumptions that carry a high degree of uncertainty or pose significant potential challenges to the success of a project or initiative. These assumptions typically involve factors that are difficult to predict, control, or validate.

No, we recommend to keep track of the key assumptions you validated throughout your research. This allows for transparency and knowledge sharing.

DataScouts uses Generative AI to suggest the most relevant key assumptions. The analyst guides the research by selecting the most relevant key assumptions or by writing specific assumptions that require attention. The WHY, WHAT and HOW are defined by the research scope as well as the focus of the research, i.e. Market Maturity, Ecosystem Health or Blind Spot Analysis. The WHO is an auto-generated list of stakeholders that involved in the ecosystem. These stakeholders are reflected on the Stakeholder Landscape.