Influencer Quiz Funnel

Turning Instagram traffic into qualified leads.

Take The Quiz

Role

Product designer & developer

Tools

Figma, Bolt.new, Claude

Timeline

6 months

Outcome

100 + leads and 5 conversions in the first few days post-launch.

1. 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 a 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 interest. A quiz allows us to:

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

2. Research & Design

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.

Some design ideation.
Back to basics, whiteboarding with the client.

3. Build & Iterate

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.

  • Step 1: User completes quiz, data sends to Supabase.
  • Step 2: Supabase triggers a webhook that Populates a Google Sheet.
  • The Outcome: Client opens the Google Sheet. He 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
  • Overall usability

Each pass brought the quiz closer to how athletes actually think about their performance.

4. Data & Analytics

What I’m tracking

To understand how the funnel performs, 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/accurate
  • Where users hesitate before converting

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

5. Results

& Roadmap

The Launch

The quiz launched on April 12, 2026.

  • ~100 quiz completions in the first few days
  • Immediate lead capture through submissions (users have to enter their emails)
  • 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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