Hey everyone! First off, a massive shoutout to DTTP for the incredible opportunity to learn and grow! This journey has been nothing short of amazing, and I’m beyond grateful for the knowledge and experience I’m gaining. Also, a huge THANK YOU to everyone who’s been following my content nonstop—you all keep me going, and I appreciate every comment, share, and word of encouragement! ❤️
Welcome to week 3 of building in public with me and if this is your first time, Do well to catch the tea from my previous posts. Now, let’s continue building our product and this week we are jumping into an area that excites me: User and Use Case Prioritization. I’m at the stage where I need to be crystal clear about who my product is serving and what problems it should solve first. Because let’s face it—when building a product, especially one powered by AI, you can’t solve everything at once. Prioritization is key!
Understanding My Users
When I started defining my target audience, I quickly realized that my product—an AI-driven caregiving solution—serves multiple groups with different needs. Here’s who I identified as my core users:
Professional Caregivers – Nurses, care aides, and agency-employed caregivers who manage multiple patients and need tools to streamline care.
Family Caregivers – Parents of children with special needs or adults taking care of elderly parents, who often feel overwhelmed and need support.
Caregiving Agencies – Organizations looking to optimize caregiver efficiency, improve patient outcomes, and streamline operations.
With this, I created detailed user personas, ensuring I deeply understood their pain points, goals, and behaviors.
Mapping Out the Use Cases
Once I had my users locked in, the next challenge was figuring out which features would bring the most value right now. I started by listing all possible use cases and categorizing them based on who they benefit most:
Caregiver-Focused Use Cases: AI-driven medication management, emergency assistance chatbots, caregiver training modules, emotional support, and performance analytics for agencies.
Care Recipient-Focused Use Cases: Health monitoring, personalized activity recommendations, mobility assistance, and virtual companionship.
Community and Social Features: AI-powered forums, caregiver-patient matching, and inclusive event recommendations.
Operational and Agency Use Cases: AI-powered scheduling, compliance tracking, and data analytics.
How I Prioritized
With a long list of potential features, the next step was deciding what to focus on first. I used a prioritization matrix, scoring each feature based on:
Revenue Impact– Does this feature directly contribute to monetization or business growth?
User Satisfaction (CSAT)– How much does this feature improve the user experience?
Ease of Implementation– Can it be developed without massive technical hurdles?
Scalability– Will this feature continue to add value as the product grows?
The Winners: What I’m Focusing on First
After crunching the numbers and weighing the impact, these are the features I’ve prioritized for my initial launch:
Real-Time AI Chatbot for Emergency Assistance – Caregivers need immediate guidance in crises, and this feature reduces response time while boosting confidence.
AI-Driven Medication Management – Tracking and administering medications correctly is a huge challenge, so this feature will help prevent errors and improve adherence.
AI-Powered Caregiver Performance Insights for Agencies – Agencies need to optimize efficiency, and this tool will provide valuable data to improve caregiver effectiveness.
What’s Next?
With my priorities set, my next step is building and testing prototypes. Over the next few weeks, I’ll be refining these features, gathering user feedback, and adjusting my roadmap as needed.
I’d love to hear from you—have you ever struggled with prioritization when building a product? What frameworks or strategies worked best for you? Let’s chat in the comments!
Can’t wait to share my progress with you all soon!
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