How to prioritize without data?

Prioritization without data is a situation where there is no quantitative information to make decisions. In such cases, qualitative methods can be used:

• Expert opinion: consult experts and stakeholders to assess the importance of tasks.
• Criteria-based assessment: identify key criteria (e.g., impact on users, implementation complexity, strategic importance) and evaluate tasks based on them.
• MoSCoW method: categorize tasks into Must, Should, Could, Won't.
• Intuition and experience: rely on previous experience and market understanding.
• User feedback: even without data, opinions can be gathered through interviews or surveys.

It is important to document the reasons for prioritization and be ready to adjust them as data becomes available.