MemoMate

After Panim’s MVP proved that older adults would happily talk to an AI about their lives, the next step was turning those conversations into a product that organisations could use. MemoMate focused on senior-living communities: AI phone calls with residents, their families and staff, with every answer feeding back to the team that runs the community.

The challenge was making that work for two very different audiences: residents who simply pick up the phone, and community managers who need to set up calls, customise what gets asked and understand the results without being data experts.

As Lead Product Designer, I owned the product design end to end, working closely with the founders and the AI team. My tasks included:

• Designing the web platform for community managers, from the organisation overview to residents, employees and surveys.
• Defining the interview customisation flow, so each call could be shaped around the topics that matter to each resident.
• Designing the Community Insights dashboard, translating call results into scores, ratings and trends.
• Keeping the call flows simple and respectful for older adults, building on the accessibility work from Panim.
• Building and maintaining the UI components and patterns used across the product.

A web platform where communities set up, schedule and learn from AI phone calls.

• Community Insights: a dashboard with call statistics (finished, hang-up, voicemail and total calls), an organisation rating across areas like dining, activities, staff response time and safety, average scores by topic and a word cloud of what residents talk about most.
• Interview customisation: choose the topics for each call and how deep to go (Basics, In-depth or Complete story), edit the talking points, then schedule the call.
• Initiate call: pick a topic such as onboarding or a family survey, schedule the start time and timezone, and set automatic retries for calls that go unanswered or to voicemail.

MemoMate took Panim’s life-story conversations and turned them into a product communities could run on.

• A complete web platform for senior-living communities, from setting up calls to reading the results.
• Call customisation that lets each conversation adapt to the person on the other end of the phone.
• An insights dashboard that turns conversations into ratings and trends a manager can act on.
• A design foundation that carried straight into Candid.

MemoMate later evolved into Candid, a voice-first AI platform for senior living that screens applicants, onboards new hires and checks in with residents, families and staff, turning every interaction into insight. The call flows, topic structure and insights dashboard designed for MemoMate are the foundations it grew from.