Reflection – Learning Launch

Challenge and Selection

I am a part of motorcycle safety study and engineering team of my organisation. Having  used a number of design thinking activities/tools we obtained a lot of data relating to  motorcycle rider safety and some reasons as to why there involved high stakes in a  motorcycle crash. We set out to study and record data at the point of crash to analyse and  come up with an idea/concept to reduce motorcycle crashes. It was required that the  solution be conceptualized within a span of 6 months and cater to all types of motorcycle  riders.

We were required to carry out fast and cheap experiments in a controlled environment to  understand and test assumptions made in the study. We used the learning launch tool for  the same and considered inputs from all stakeholders to remove any confirmation bias.

Application

In a number of iterations of learning launch, we performed cheap experiments in  lab/controlled environment to assess and remove any disconfirming facts in the  idea/concept that the team came up with. We included members from different teams of  our organisation to provide inputs from their perspective towards the idea, some of whom  acted as sceptics providing crucial insights that otherwise would have went unnoticed.

Insight and Approach

The learning launch tool helped to test assumptions and prove some wrong in the process.  Using the learning launch tool helped to look at the problem at hand in a very different  angle. Actual results led to conclude that a majority of crashes happened due to distracted  riders and the fast and cheap experiments helped to narrow down on what to focus on as  we proceed with our idea/concept.

Given the large amount of data obtained at the start of the project, learning launch tool  proved to be an eye-opener and helped to add new data points into the scope of project.  Our team can review the data obtained in different iterations of learning launch and  incorporate them into future motorcycle designs. Future designs can learn from insights  gained, progress made and take us one step closer to a crash free environment.


Reflection – Learning Launch Challenge and Selection I am a part of motorcycle safety study and engineering team of my organisation . Having used a number of design thinking activities / tools we obtained a lot of data relating to motorcycle rider safety and some reasons as to why there involved high stakes in a motorcycle crash . We set out to study and record data at the point of crash to analyse and come up with an idea / concept to reduce motorcycle crashes . It was required that the solution be conceptualized within a span of 6 months and cater to all types of motorcycle riders . We were required to carry out fast and cheap experiments in a controlled environment to understand and test assumptions made in the study . We used the learning launch tool for the same and considered inputs from all stakeholders to remove any confirmation bias . Application In a number of iterations of learning launch , we performed cheap experiments in lab / controlled environment to assess and remove any disconfirming facts in the idea / concept that the team came up with . We included members from different teams of our organisation to provide inputs from their perspective towards the idea , some of whom acted as sceptics providing crucial insights that otherwise would have went unnoticed . Insight and Approach The learning launch tool helped to test assumptions and prove some wrong in the process . Using the learning launch tool helped to look at the problem at hand in a very different angle . Actual results led to conclude that a majority of crashes happened due to distracted riders and the fast and cheap experiments helped to narrow down on what to focus on as we proceed with our idea / concept . Given the large amount of data obtained at the start of the project , learning launch tool proved to be an eye - opener and helped to add new data points into the scope of project . Our team can review the data obtained in different iterations of learning launch and incorporate them into future motorcycle designs . Future designs can learn from insights gained , progress made and take us one step closer to a crash free environment .