Digital Ecosystem Analysis
Check the environment of your innovation. Discover systematic barriers for the usage of your product, and identify opportunities for synergies with existing services
1-2 days to scope existing data,
2-5 days for analysis and interpretation
Low (statistical expertise is very helpful)
Data & data analysis/visualization programs (e.g. PowerBI)
Nice to have
These methods might be important for some innovations only.
A digital ecosystem is a complex network of stakeholders, businesses, and data systems that use technology to interact with one another. In analyzing infrastructure, costs, access conditions and related services you can assess whether your user will have everything outside your product he or she needs to use the service you are offering. In User Research, this is also called Secondary Research or Context Analysis.
A digital ecosystem analysis is best prepared by a small team of people with quantitative data analysis skills. The discussion of the results and interpretation of the meaning for your innovation development process should be done within your larger team.
A digital product is never used in isolation. Digital Ecosystem Analysis helps you understand in which context, and under which circumstances your user is going to access your product. With this in mind, you can redesign to optimize access and usability for his or her conditions.
Why it’s useful
Minimizes research costs
Statistical data might convince rather critical internal stakeholders of your idea
Needs basic statistical skills
Locally disaggregated data, although crucial for meaningful analysis results, can be hard to find
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Method aim: Planning
Data type: behavioral