Lotic.ai
Accelerating AI product innovation: from concept to market in 90 days
Lotic needed to launch an AI-powered well-being insights platform within an aggressive timeline, with minimal upfront discovery. The goal was to balance rapid delivery with gaining the user insights necessary to guide iterative develpment.
My role:
Product vision & roadmap
Product discovery
Conceptual design & user flows
Content design
Approach
Adaptive strategy: recognizing the constraints, I defined key learning objectives to uncover critical user needs and business priorities for a first time user experience. This allowed the team to focus on delivering an Alpha version in the first month as a tool for discovery and validation.
Continuous research: implemented a lean research framework to gather insights during and after Alpha development. These insights informed prioritization and iteration cycles, enabling us to evolve the product while maintaining momentum.
Collaborative execution: led a cross-functional team through the rapid development of both the Alpha (30 days) and the MVP, all in under three months. Prioritized features to answer high-impact questions while ensuring a scalable foundation.
User-centered design: leveraged research findings to refine conversational UI patterns, leading to a 27% increase in prompt completion.
Outcomes
This iterative, research-driven approach enabled the rapid launch of an MVP that resonated strongly with users. The shift to a dynamic conversational UI significantly outperformed the linear, topical flow introduced in the Alpha, improving user satisfaction and prompt completion rates.
The conversational UI became a cornerstone for future iterations, aligning the product more closely with its mission to deliver meaningful insights in an organic, intimate format.
Future vision
30+ day engagement strategies: leverage MVP learnings to inform 30+ day user journey.
Scalability: modular frameworks for dynamic insights and evolving user needs.
Enhanced personalized insights: robuts, scalable platform that helps users identify patterns in behavior over time.