Challenge  I am leading a product development team of a company specialising in building IT systems  for government entities. The acquisition of consumer data is fundamental to the system, in  order to build downstream application to support business functions of our customers.  Although the data is acquired through third party providers, using agreed methods, one of  our key customers has highlighted a concern about the poor quality of the data received  from the third parties and lack of systems tools to efficiently identify third parties which are  not complying with the data requirements.     Following an initial engagement with the customer to understand  their problems, we have  done some brainstorming internally to build a prototype for a data quality tool to assist  customers with identification of compliance issues and subsequent engagement with third  parties to address those issues in an efficient manner. The challenge is to build a solution  which is fit for purpose and can be deployed quickly for customer feedback. The portfolio  team has agreed to fund a 3-month project with the relevant resources. Our sales team will  help us to organise testing of the first prototype with a key customer organisation. The sales  team will also help to us to demonstrate prototype to two other customers to build a  product roadmap for other customers.    Selection    We have decided to use the learning launch tool. This will help us build an effective tool that  our customer can use to monitor any data quality compliance issues. We have done some  initial definition of the problem with a customer and worked with our own subject matter  experts to come up with a prototype. The selection of the learning launch tool will help us  to quickly get feedback from wider customer stakeholders and run hands-on experiments  with the customers to test or revisit our assumptions we have made and to refine the  prototype in iterations.    Application  As part of our first launch, we focused on demonstrating a web browser based user data  quality prototype that provides user dashboards to highlight any errors found within the  consumer data or incomplete data received through 3rd party providers. The dashboard also  provides a set of preconfigured views for users to get insight about the type of issues found  and enables them to drill into the actual data if required. The customer users had an  opportunity to navigate through the prototype interface and provided their feedback about  the features. This was enormous insight for us to know that the users found the interface  very intuitive to use with no user training and they could see the value the data quality tool  brings to help them with the compliance process. As the key assumptions have been tested  to be true, we had a go ahead to move to  the next iteration of the learning launch. As an  output of the first launch, we prioritised features for the next iteration based on the value  they bring to the users.     The second launch was to introduce a notification service into the prototype to send  automatic email alerts to the 3rd party providers for any errors found in the data without

requiring a user to initiate an action. Moreover, we built a few additional views to meet user  needs. This learning launch tools helped us to confirm a new product concept with an active  customer to ensure it fulfils their needs without having to wait for the full product to be  ready before the customer can see it. The learning launch proved to be a powerful tool to  align our product development with market needs and making sure an interest from the  customer users.     After securing a commitment from the customer to buy this new data quality tool, we were  able to demonstrate the prototype to two other customers to get their buy-in, which  provided a strong boost for the go-to-market plan based on robust commercial model.     Insight  We applied the learning launch to design and test our products. Through customer  engagement and learning through customer feedback, we were able to build a product to  meet customer needs. It felt reassuring to test our ideas and assumptions with the  customer. It is through this process we were able to get some insight about some other  features users would like to see in the overall system which will be really useful for the  future growth of our relationship with the customer. As part of the project closure exercise,  we documented some lessons learnt through this session which will be useful for future  application of the learning launch tool.     Personally speaking, I have learnt a new way to approach problem solving  and be open to  apply a growth mindset to come up with a solution for a problem.     Approach  The learning launch is the right tool for our business as it offers both flexibility and agility to  test new concepts with our customers before they are turned into  commercial offerings.  We are going to review the lessons learnt from two launches, in order to make sure any  future launches benefit from this experience. Broadly speaking, this insight will also improve  how other design thinking tools can be combined with the learning launch tool to build a  right-sized framework for solving business problems.

