The course themes are very interesting, as the optional material. However, I disagree with the no prior requirements: given the lessons method, it is necessary a well-above average level of mathematics, statistics and excel (when not directly Stata, which is not free and whose examples are not released). I also would have preferred a more engaging presentation style (too often the lessons seemed "read" speeches).

Overall I would recommend this course to students and professionals with prior statistics knowledge and a specific desire to deepen their skills on workable models.

My idea of approaching decisions really changed thanks to this course. Professors are good at accompanying you along the way. Also very useful for those who don't deal with innovation.

Very useful course.

La lógica detrás de la materia explicada es fácil de entender. La forma de explicar de los profesores no plasma esto, con lo cual hace que el material parezca mucho más complejo de lo que realmente es.

True to its name, this course delivers a clear explanation of the role of hypothesis-testing, the use of probabilities in decision making and how to choose the optimal path from the options available. The actual implementation of the scientific approach is illustrated through real-world case studies and interviews.

The course has greatly encouraged me to think more scientifically when problem-solving.

I particularly appreciated the instructors' quick replies to queries, which was a great motivation for me to explore the subject further.

Establishing fundamental Ideas about making a solid decision in the world of uncertainty and ambiguity.

Great

nice course, interesting topics and well trained professors. the only suggestion is to show better how to perform analysis in STATA, integrating video showing more detailed screenshot and codes.

Here’s a thoughtful review you could provide: --- **Review: A Scientific Approach to Innovation Management** This project demonstrates a clear and structured application of experimental design to a real‑world business decision. The student did particularly well in explaining the setup of the randomized trial and in applying the difference‑in‑differences methodology to isolate the causal effect of the new product version. The report is concise, easy to follow, and concludes with a decisive recommendation that is well supported by both regression results and validation against the “True data” worksheet. To strengthen the work further, the analysis could incorporate a more explicit theoretical framework, explaining why difference‑in‑differences is appropriate and how it controls for unobserved heterogeneity. Including specific regression outputs (coefficients and significance levels) would add rigor, while a brief discussion of limitations and broader managerial implications would provide depth and critical reflection. Overall, this is a solid and promising piece of work that shows strong analytical reasoning and a good grasp of innovation management methods. With minor refinements, it could be even more compelling both academically and for business decision‑makers.

It is a really nice course, because of good-quality videos and clear examples. The course helped me get a better understanding of scientific approaches in management. I was able to systematize my knowledge in statistics and currently feel much more confident and will be improving further. Thanks to the authors!

The course challenged me and allowed to experiment a way of managerial thinking. The only weak point is the final project evaluation: as it is done by peers, it happens to be very diverse and sometimes the feedback needed for improving the report is too scarce or ambiguous to be able to take action.

Clear, concrete and useful. This course help you to think strategically when approaching an idea or you have to evaluate an idea in a broader context

Exceptional one. I was completely in agreement with all the course contents. 100% human brain is used in this. Brilliant one.

Excellent path to start understanding and using basic and more advanced scientific methods to managerial decision making.

When intuition is not enough and data are almost everywhere, managers should use these techniques.

Really good course that helped me de-mystifying several areas within innovation management.

amazing and very useful course in growing one's career graph professionally

This course is very useful in scientific as well as for teaching

Intense content and concise explanation

Nice course well done nice experience

Everything is fine and clear. Thanks!

Recomend for all innovation managers

Very useful and knowledgeable.

Very good course

Excellent