Influencer
Quiz
Funnel

Turning Instagram traffic into qualified leads.

Take The Quiz →
Role
Product designer & developer
Tools
Figma, Bolt.new, Claude
Timeline
2 months
Outcome
200+ leads and 15 conversions in the first month post-launch.
Quiz Funnel
01 —

The
Problem

Struggling to turn followers into customers.

“I built a large audience in my niche, but I’m having trouble monetizing them.”

— JD (the client)
The Context

I worked with a CrossFit coach to design and build a quiz-based sales funnel.

The business had grown through Instagram, building an audience of engaged followers. But converting those followers into paying customers relied on manual processes.

The Friction

The gap between follower and paying customer was inefficient and time-consuming.

  • Every lead required direct interaction
  • Many leads were unqualified
  • There was no structured way to assess an athlete before a call
The Hypothesis

JD needed an engaging way to go from follower to customer. People like to take quizzes, and JD’s followers are a niche audience who can take the quiz to learn more about their unique interests. A quiz allows us to:

  • Pre-qualify athletes before sales conversations
  • Reduce time spent on unqualified calls
  • Create a scalable lead funnel
JD logo
02 —

Research
& Design

Why A Quiz?

Why A Quiz?

Quizzes turn passive followers into active participants. They create a quick, personalized experience that builds investment, while helping users self-identify their needs.

It makes the final offer feel relevant and easier to buy into.

Building The Quiz

Between the client and myself, we brought over a decade of CrossFit coaching experience. We used that to define what different levels of athletes actually look like in practice.

We translated those mental models into measurable benchmarks and scoring logic.

As the quiz evolved, the scoring system became more complex. Getting this right required understanding how the logic should work and shaping the system accordingly.

JD logo
03 —

Build
& Iterate

Fast iteration without losing control of the experience.

Development

The product was designed and built using Bolt.new, with support from Claude. Figma was used selectively to define UI components and guide specific changes.

The workflow was iterative:

  • Define structure and logic
  • Build directly in the product
  • Test and refine in real time

This allowed for fast iteration while maintaining control over the experience.

Handling the Data

I built a data pipeline for the client to view the quiz leads and results.

01User completes quiz — data sends to Supabase
02Supabase triggers a webhook that populates a Google Sheet
03Client opens the Sheet — sees the lead’s name, email, and their level
Test & Repeat

The quiz went through multiple versions as the client’s offering evolved. We tested the flow dozens of times, refining question clarity, scoring accuracy, and overall usability. Each pass brought the quiz closer to how athletes actually think about their performance.

JD logo
04 —

Data
& Analytics

Tracking what matters to optimize what comes next.

What I’m Tracking

I built in lightweight analytics (Google Analytics and Microsoft Clarity) to track both behavior and perceived accuracy.

  • Quiz completion rate — where users drop off in the flow
  • Results page behavior (heatmaps) — how users interact with the most important conversion point
  • User feedback (“Was this quiz accurate?”) — whether the output aligns with user expectations
  • Lead capture (submissions + conversions) — how many users move from quiz → customer
Why?

The goal isn’t just to get users through the quiz — it’s to understand:

  • Where friction exists
  • Whether the scoring feels credible and accurate
  • Where users hesitate before converting

The more analytics I can gather over time, the more I can optimize the funnel.

05 —

Results
& Roadmap

The Launch

The quiz launched on April 12, 2026.

  • ~100 quiz completions in the first few days
  • Immediate lead capture through submissions
  • 5 confirmed conversions
What’s Next?

Early results suggest strong engagement, with clear opportunities to improve conversion at the results stage. The next phase is optimization.

  • Analyze drop-off and completion rates
  • Review heatmaps and user behavior
  • Evaluate perceived accuracy through post-quiz feedback
  • Refine scoring and results experience
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