Nudges Framework & Strategy

Wistia — 2024

Project

Users stuck to familiar features, leaving powerful tools undiscovered. I designed a platform‑wide Nudges system to surface the right guidance at the right time—gently expanding workflows without getting in the way.

Results

Early experiments showed stronger second visits and analytics adoption when paired with Email Nudges. The framework established the runway for AI‑powered guidance across the product.

Team

Cross‑functional with GTM, product, engineering, and design leadership

My role

Vision, framework, trigger/qualification design, component specs for in‑app and email, and roadmap alignment

The Problem

Users gravitated to familiar features and ignored the rest. Announcements and onboarding didn’t change behavior. Prior patterns (tooltips, guides) underperformed, leaving adoption and workflow depth flat.

User maturity feature sophistication alignment
AI thumbnail selection interface
Nudge trigger and qualification flow chart
Email notification showing video engagement
Nudge framework showing user maturity and feature sophistication

Approach

Built a UX model pairing user maturity × feature complexity to determine when and how to deliver guidance. Defined trigger logic and qualification rules to ensure Nudges felt timely, not disruptive.

Use Cases

Nudges Vision interface example showing tag functionality

Suggested bulk edit after repeated manual edits (efficiency), prompted tagging after multiple uploads (organization), recommended social integrations when videos had no plays (distribution), and encouraged lead capture overlays after engagement spikes (growth).

System & Components

Examples of Nudge implementations showing embed media and view engagement patterns

Reusable components for in‑app and email delivery, with consistent visuals and copy patterns. Nudges appear at key moments—e.g., after engagement spikes, before repetitive actions, or when missing critical setup steps.

Reflection

Collection of different nudge implementations across the platform

Signals are promising; next I’d scale experimentation and deepen personalization links so guidance adapts with user maturity.

More Case Studies

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