Build visual prototypes to communicate with cross-functional teams

2026-04-09 · Source: How I AI · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, quick

Summary

Clay University, an online learning platform for RevOps professionals, is addressing the challenge of content discoverability for new users. A team member, Chris Ming, prototyped a solution using Perplexity's computer vision and multi-model capabilities to create a persona-based learning journey. This prototype allows logged-out users to view tailored content paths for roles like SDR, BDR, RevOps, marketing ops, and GTM engineer. Once logged in, the system tracks course completion and suggests next steps, workshops, and cohorts based on the user's identified persona, significantly improving content relevance and user experience.

Key takeaway

For AI Product Managers designing educational platforms, you should prioritize persona-based content delivery to improve user engagement and course completion rates. Implement AI-driven prototyping tools early in the design process to quickly visualize and iterate on personalized user journeys, reducing communication friction between design and stakeholders and ensuring a more intuitive learning experience.

Key insights

Persona-based learning journeys enhance content discoverability and user engagement on educational platforms.

Principles

• Tailor content to specific user roles.
• Visual prototypes bridge communication gaps.

Method

Utilize AI with computer vision and multi-model access (e.g., Perplexity) for rapid prototyping of user interfaces and content personalization logic.

In practice

• Map content to distinct user personas.
• Use AI tools for UI/UX prototyping.

Topics

• Visual Prototyping
• Perplexity AI
• Persona-Based Journeys
• RevOps Training
• Cross-Functional Communication

Best for: Product Designer, AI Product Manager, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by How I AI.