Data Science Project Assessment Questionnaire
Join Tesseract Academy’s mission.
Are you a CEO, manager, or entrepreneur? We help
decision-makers like you understand data science, AI, and blockchain.
You know you want to embark on a data science journey, but you are still not sure about
some of the obstacles that you might encounter along the way.
Data science can be described as an exercise in risk management.
Failing to plan is planning to fail, and this questionnaire is built in order to help you
understand all the risks associated with your project and how to mitigate them.
The Data Science Project Assessment Questionnaire
The purpose of this document is to help you clarify your objectives, and factors that can
affect the success of a data science project.
It is important to understand that a data science project is often an exercise in risk
management. The problematic part in data science is the “science” bit. Quite often, it is
impossible to know how well something will work in advance until you try things out.
The only cases where you can be confident of results before you embark on a project are:
1. You have worked on the same case with very similar data in the past.
2. There is an extensive body of literature on this type of problem.
In any other case, the results cannot be guaranteed. Hence, the right project structure should focus on organizing an “attack plan”, where each step should produce one of either
two outcomes:
1. ful completion of the project.
2. Learn something about the problem (e.g., maybe a family of methods is not appropriate, which can lead to improved exploration).
In order to better manage the project, expectations, and risk…
…The questionnaire below can help you list all the important requirements. This questionnaire is both for you and the data scientist, and it will help you bSuccessuild a common understanding of the requirements, the challenges, and how to mitigate risks. It is recommended that you do at least one round of back-and-forth between you and the data scientist, in order to make sure that there is appropriate understanding on both sides.
