Design value adding analytics solutions from a user's perspective.
Many analytics projects fail due to lacking user acceptance and / or little added value. They've simply been developed without really targeting the user's needs. The Analytics Use Case canvas helps you to better understand these needs. Subsequently you can develop analytics solutions which really add value.
An use case is defined by providing answers to the following three questions:
- What's the user's problem?
- What's the solution from the user's perspective (not from a mere technical or analytical point of view)?
- What's the solution's benefit for the user?
Therefore an use case describes the desirability of a solution.
In contrast a business case answers the question regarding the viability on top of that. This also includes costs, risks and the (financial) benefits of a solution. For this the Business Model / Case canvas can be used.
Looking at an analytics solution the benefit reveals itself by supporting, optimizing or even completely automating (decision) processes to reach certain (business) objectives. Here analytics serves as a tool to get from data to relevant information which assists in setting the right course of action. Meaning deciding to go for those actions which deliver results which in turn contribute to reaching the objectives:
Data ➡ Analytics ➡ Information ➡ Decision ➡ Action ➡ Results ➡ Objectives
Hence, to design a value-adding analytics solution, we need to first understand a user's objectives and key results (OKR). Furthermore we need to examine which decisions and actions can be taken by the user respectively which he / she is allowed to take. Finally we need to answer the question what's currently preventing the user to take better decisions (pains) and what would support him / her to take these (gains).
Only after that we can meaningfully think about the information and features an analytics solution needs to provide and what's the (professional, personal and / or economical) benefit of all that. Subsequently the Analytics Use Case canvas is divided into two parts:
- right-hand side: the problem / user view
- left-hand side: the solution / provider view
In the end both sides must fit together which is either called problem-solution-fit or product-market-fit. Here the Analytics Use Case canvas follows the structure of the famous and successful Value Proposition Canvas.
On our website you will find a step by step tutorial.
Creator / Author
We drive your business forward.Read more
Creative Commons Attribution - Share Alike 4.0 International licenseRead more
How may I use this canvas?
Personal use Commercial use
English - Analytics Use Case
Is your language not yet available? Help translate this into your native tongue. Contact the creator!