New users exploring Candid’s educational offerings often struggled to understand which courses were most relevant to their goals. The existing experience relied on self-directed browsing, which created friction and drop-off during early exploration.

I initiated discovery that showed a guided quiz would increase interaction and engagement.

Users needed guidance to identify the right courses without overwhelming them with choices. The challenge was to reduce cognitive load while maintaining clarity and trust within an existing ecosystem.

If we guided users through a short, goal-oriented quiz during exploration, they would:

Feel more confident in their selections

Reach relevant content faster

Be more likely to register for a course

I led the end-to-end experience of a lightweight, quiz-based onboarding flow, partnering with marketing and our learning team to ensure feasibility and accurate measurement.

My focus areas included:

Prioritizing content based on historical data

Designing clear, progressive question flows

Creating multi-selection logic that adapted to user input

Writing UX copy that felt supportive (rather than promotional)

Ensuring the experience aligned with brand trust and accessibility standards

A guided quiz experience that asked users a small number of targeted questions and surfaced personalized course recommendations based on responses.

The design emphasized:

Progressive disclosure to reduce cognitive load

Clear visual hierarchy for scannability

Flexible logic to support multiple user goals

Direct transition from quiz to registration

Additional outcomes included:

Faster path to relevant content

Higher confidence during selection

Clear validation of guided onboarding as an effective activation pattern

Guided experiences can significantly improve early-stage activation when users face complex choices.

Small, focused experiments can deliver meaningful impact without large platform changes.

Clear UX copy and adaptive logic are critical for maintaining trust in personalized flows.

Applying similar guided patterns to other high-friction entry points across the platform

A/B testing question order and depth to optimize completion rates

Personalizing recommendations further based on user role or organization type