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UCSmartHealth has successfully developed 2 flagship products – UCAware which provides situational awareness of the environment for assisted living among the elderly and UCPredict which incorporates artificial intelligence (AI) technology to help predict the probability of occurrence of PTSD among war veterans.
After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below.
| Month | Jan | Feb | March | April | May | June |
| UCaware | 4220 | 4278 | 5460 | 5275 | 4950 | 5315 |
| UCpredict | 3400 | 4670 | 2900 | 2760 | 2430 | 2500 |
UCAware has high levels of customer engagement and perceived value, supported by strong sales figures. On the other hand, UCPredict has high levels of customer engagement, but perceived value is dwindling. Customers love UCPredict and want it to be successful, but features requested by customers have not been scoped or added to the product backlog.
You decide to interview users of UCPredict to gain specific insights on product improvements for your development team.
a. Design a set of questions that will draw out both the pain points and desirable solutions for customers that will enable you to build a Product Backlog.
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