Master in Decision Making & Innovation
During the second part of the Product Management and Productivity module, you have been requested to develop the activity “Twitter: Product Challenge”.
In the case the Expert Vanesa Barrero has shared with us some considerations after reading and assessing each team answers:
You can read the general feedback were she has pointed out important considerations about what you have achieved and need to improve!
What we should have learned (or at least, I hope so!)
- To gain awareness about some of the steps of product management process. Don’t forget to read the chapter to have the complete vision!
- How to face a product analysis in several perspectives: business, users and the product itself,
- New tools to describe and communicate your acquired knowledge: business, customer needs and requirements,
- Decision-making can be made not only from numerical data, it can be done based on several inputs: Long term objectives, business model, user needs, time constraints, technical constraints, etc. The hypothesis should be as objective as possible,
- It is possible to get out of the building and your comfort zone (Google),
- Teamwork is possible, enriching and enjoyable
- Everybody can translate ideas or research in a more visual way (canvases, wireframes, personas, matrixes) and it´s very helpful to communicate your ideas to others,
Some of the common mistakes:
Your exercises were great, because all of you follow the most of the process required and concrete an improvement. But I would like to point out several points you can have take into account:
General to all stages:
– Lack of steps: the prioritization and its reasoning, for example, was missed most of the times,
– Lack of explanation: why did you take each of your decisions?
– Lack of concrete info: Is the info presented relevant? Is it clear and concrete?
– Lack of supporting material for the surveys, interviews, sources, etc.
– Lack of clarity: listings, boxes, bold font, typography, and clear conclusion.
– Lots of copied material without additional reasoning showing its understanding or linked references
– Some of you did not define a different value proposition for every specific customer segment
– The business learning’s where not used in the reasoning or the prioritization
– Surveys were a clever solution for the lack of time but there were many without open questions. Close question narrow the possible answers.
– Too much demographic info: this kind of data was only relevant in few cases.
– Few interviews, and many of them without any conclusion or quote.
– Ask directly to the users to prioritize. It´s a source for your decision-making but it’s not your only one.
Ideation and Prioritization:
– Only based on users needs or personal opinion without reasoning.
– No decision-making: some of you did not choose one hypothesis to develop.
– Lack of criteria in prioritization. Very few of you have actually prioritized and explained the reasons behind your decisions.
– Very few groups were able to brief even one user story.
– Very few of you describe the hypothesis, the requirements, the steps, the metrics, etc. Most of you have only thought in the interface.
– The possible output or success of the proposal were not evaluated because I don´t have data as they were not real tested. The focus was about above all in you showing clarity and communication. Some of you did not explain the wireframes and their impact.
Please consider this as constructive criticism about areas that could be improved.
Really, congrats all for your work. All of you went through a difficult journey and you get to very impressive and original solutions.
It was a pleasure, good luck to you all, Gaians!