Quiz opt-in rate is 40.1% compared to 1.9% for pop-ups. That is a 21x difference according to the largest independent studies (Interact 80M+ leads, Riddle 8.96B data points).

Interactive forms convert at 47.3% vs 2.8% for static forms. That is a 16.9x difference (Outgrow, 50K forms).

Yet most businesses still use static contact forms and pop-ups for lead capture. I think the reason is pricing. ScoreApp charges $1,164/year. Typeform charges $708/year just for scoring features.

I have been experimenting with scored quizzes for my own business and the results are wild. Built a tool for it that I use daily (fluotest if anyone is curious). Would love to hear if anyone else has seen similar numbers with interactive content.

Quiz opt-in rate is 40.1% compared to 1.9% for pop-ups. That is a 21x difference according to the largest independent studies (Interact 80M+ leads, Riddle 8.96B data points).

Interactive forms convert at 47.3% vs 2.8% for static forms. That is a 16.9x difference (Outgrow, 50K forms).

Yet most businesses still use static contact forms and pop-ups for lead capture. I think the reason is pricing. ScoreApp charges $1,164/year. Typeform charges $708/year just for scoring features.

I have been experimenting with scored quizzes for my own business and the results are wild. Built a tool for it that I use daily (fluotest if anyone is curious). Would love to hear if anyone else has seen similar numbers with interactive content.

i started building fluotest in february. a free scored quiz tool. nothing crazy, just something i needed myself because i was tired of taking unqualified discovery calls.

i had no idea what i was getting into.

week one i launched with basically nothing. no waitlist, no audience, no plan. just put it online and shared it in a few places. got maybe 5 users. thought ok this is going to be a slow grind.

then chatgpt started recommending it. i didn’t do anything. no seo play, no outreach to openai, nothing. people just started finding it through ai and signing up. a vet in the uk using it to screen dogs for surgery. a safety officer in south africa. someone from universal music. a professor at calarts. none of them are my target audience. none of them found me through anything i did intentionally.

that was the first “f*ckin hell” moment. you build something for one use case and the world finds a hundred others.
the hard parts nobody talks about: i rewrote the onboarding three times. i shipped a feature that broke everything on a friday night. i spent two weeks doing cold outreach on linkedin and got completely ignored. two weeks of my life, zero results. stopped immediately.

the good parts nobody talks about either: the first time someone emailed me to say thank you unprompted, i sat there for like five minutes just staring at it. two trustpilot reviews in one day this week, both unprompted. that hits different when you’re building alone.

13 weeks in. 120+ users across 15+ countries. zero ad spend. launching on product hunt in 3 days.

i still don’t fully know what i’m building. i thought it was a lead qualification tool. now i think it’s something bigger.

“score any decision, automate what happens next.” every industry has decisions that should be scored but aren’t.
anyway. just wanted to write this out somewhere. if you’re building something and it feels chaotic and unpredictable, that’s probably normal.

what’s the most unexpected thing that happened when you started building?

Curious what people in this community are working on.

Not just the end goal but the actual thing you are building this week. What did you ship, what are you stuck on, what surprised you.

I will start. I am building a free scored quiz tool. This week I shipped an onboarding flow and a pricing page. Biggest surprise so far is that people are using it for things I never expected, healthcare screening, workplace safety, education. I thought it was just for lead qualification.

What about you?

In February I launched FluoTest, a free scored quiz tool.

Today we have 100+ users across 15+ countries and I have not spent a single euro on marketing. Here is exactly what worked and what did not.

What I built and why

I was taking too many unqualified discovery calls. When I looked at tools that could fix this, ScoreApp wanted $1,164 a year and Typeform charged $708 just to unlock scoring. I decided to build my own and make it free.

What actually drove growth

ChatGPT was by far the biggest channel. I never optimized for it, never tried to get listed anywhere. People just started finding FluoTest through AI recommendations. A vet in the UK, a workplace safety officer in South Africa, someone from Universal Music, a professor at CalArts. All via ChatGPT, all organically.

Google search started picking up around week 6 after I published a few comparison blog posts. Reddit drove a burst of signups in the first few weeks from two posts that did reasonably well.

What did not work

Cold outreach on LinkedIn was a complete waste of time. DMs to ICPs got ignored almost universally. I stopped after two weeks.

The unexpected insight

I built FluoTest for lead qualification. But people are using it for healthcare screening, workplace safety assessments, hiring, education. The actual use case is broader than I thought. Score any decision and automate what happens next turned out to be a more universal problem than qualify leads.

What is next

Launching on Product Hunt on May 19. Curious if anyone else has experienced this kind of unexpected use case expansion early on.

Every day companies receive:
enquiries

applications

forms

support requests

assessments

onboarding data

partnership requests

…and most teams still process everything manually.
No prioritization.
No scoring.
No routing logic.
No consistent system.
So the same people keep making the same repetitive decisions all day.
Feels inefficient honestly.
Especially when a lot of these workflows follow predictable patterns:
high fit

low fit

urgent

incomplete

qualified

disqualified

I think “decision automation” is going to become a much bigger category over the next few years.

Forms.
Applications.
Assessments.
Onboarding flows.
Demo requests.
Support intake.

Everything gets submitted into the same dashboard and someone manually decides what happens next.

Approve?
Reject?
Prioritize?
Route to sales?
Send onboarding?
Request more info?

Still human-driven in most startups.

Feels strange because SaaS teams automate:
- emails
- analytics
- billing
- support
- marketing

…but not the actual decision layer behind workflows.

I’m starting to think structured scoring and automated routing are massively underrated compared to the amount of AI noise right now.

Anyone else seeing this?