Activity Randomizer
WannaDO was a mobile app to help busy adults find activities by generating suggestions based on personal preferences, entering only minimal data points. The app aims to alleviate the stress of planning and maximize free time for urban professionals and parents of young
kids.
Next Iterations/Improvements
• Homepage layout:
• What’s presented to the user at first glance?
• Calendar immediately visible, or hidden?
• New Features
• customize the number of displayed results
• Voting amongst friends on group activities
• Questions:
• Types of filters to use?
• What questions would yield most pertinent results for user needs without being too
creepy around data mining?
Lessons Learned
• Lessons Learned from the WannaDo Project
• Collaboration and Adaptability:
• The team worked closely in real-time and stepped in for each other if and when personal
obligations arose.
• This flexibility prevented delays and maintained project momentum.
• User-Centered Design Approach:
• User research discoveries proved very effective: interviews confirmed, without leading, a
need for a product, given societal time constraints.
• Iterative Design Process:
• User feedback during the iterative process resulted in immediate & clear product
improvements
• Presenting the project with clear explanations of choices and iterations demonstrated
effective communication, crucial for both team alignment and stakeholder engagement.
• User feedback suggested a need for balance, which guided the team to some middle
ground, like finding a sensible number of activity suggestions—avoiding both choice
overload and restrictive options.
• Focus was maintained by prioritizing MVP features using the MoSCoW method & feature
prioritization matrix. This prevented mission creep and no overload at the end
• Flexibility in Design Tools:
• Opting out of certain frameworks like the Value Proposition Canvas ensured time was
spent on real added value.
• Recognition of Future Opportunities:
• Always something more to do, product improvements to add