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My client was struggling to understand how users were interacting with a part of their checkout flow. I was able to configure professional data collection and conversion tracking across their site and checkout to drill down and find answers to their questions. From insights derived from that data we were able to make informed business decisions to increase conversions.
Checkout friction diagnosis is underrated — most stores look at the aggregate drop-off number but never isolate which specific step is doing the damage. What did the data end up showing?
Checkout flow tracking is where most of the real diagnostic work happens. The gap between what GA4 shows and what's actually costing revenue is usually biggest right there. Curious what patterns you found once the tracking was clean — did the data surface anything the client didn't expect?
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Love this!
Just little things makes the whole difference.
My intention was to build a simple MacBook app last year to track how much time I spend working on my portfolio (this idea has been collecting dust for more than 7 years), but I ended up building a workforce management software.
Hear me out first, I know there are many apps out there that do similar things, and Mac even have their own "timer". But it wasn't sufficient for me, as every time I shutdown my computer, everything just starts afresh.
Plus I couldn't actually track what I wanted like, what time of the day I’m most productive, sharing my current task with a friend who'll monitor my focus even if they don't have account on the app.
There were many things I wanted to solve, that was why I build this app.
I designed all the screen, modals, and critical components for loading & success states, onboarding, etc
This app currently connects to most calendars, lightweight, intelligent enough to take only-tasks screenshot at different intervals and blur sensitive area.
I believe that this app can used by anyone who wants to measure productivity, not just working hours.
I build this out in many ways:
Claude Code, Figma MCP to Claude models in AntiGravity IDE.
I wrote most of the CSS myself, as I encountered migration ~flops from Figma to Claude.
What do you think about this?
Should I continue to develop this?
I dab.
Goated interface!
I built a research tool for VC analysts:
Diligence — AI Due Diligence Tool for VC Analysts
👀
Nice work!
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