Bocce Performance - Measure, Report, Accelerate
Revisiting Pearson's Law
👋 Howdy folks!
I’m Digital Dave back with another issue of Bocce Labs. If you aren’t yet subscribed, you can do so here:
Welcome to the 3 new subscribers this week!
Last week, I shared about the status of my overall vision for this project along with a roadmap on how we can get my project out of my living room lab and into the real world. Read it here:
This week, I’ve enhanced that with more tracking and planning.
Pearson’s Law re-visited
Back in October 2022, I wrote about Pearson’s Law. In fact it was the very first newsletter blast of Bocce Labs.
I discovered Pearson’s Law on a podcast and the more I thought about it, the more I thought it would help my bocce tech project endeavors. Pearson’s Law simply states:
I’ve been reporting about my project by means of this newsletter/blog. I’ve tracked the performance metrics of the blog (open rates, subscriber counts, unsubscribes, etc.).
But I haven’t been measuring my performance of my bocce tech projects.
Therefore, my performance hasn’t improved much.
I’d like to move the needle and make some measurable progress.
But first, I need to assess what the current status is.
From there, I hope my performance improves and I hope my rate of improvement accelerates.
This isn’t unlike tracking your performance in a sport. Pro players review their stats and rankings and they adapt to improve. That’s why I want all these automated bocce stats in the first place. We have a lot of catching up todo with the technology behemoths that modern pro sports leagues/networks have become.
Bocce Labs Project Status Report
You can access my live project status report here:
And since that’s a live link that will change over time, here’s a screenshot for archive purposes:
Takeaways from my Status Report
I’m closer to MVP 1 than I think. As stated last week, MVP 1 entails:
Camera & Software Assisted Referee Measuring Aid (iPad/tablet based) - A referee makes every decision but can look at the screen & computer measurements to help make those decisions. The referee knows the precision & tolerance of the system.
Broadcast Integration - For OBS, that’s a simple HDMI out from the computer to HDMI in to the broadcast switcher and switch to the feed as necessary. For Switcher Studio, just install the desktop plugin and switch to the feed as necessary.
AI Data collector - Collects ball image data as needed and stores for AI training.
And the steps I need to accomplish to achieve that milestone include:
Of those 8 items listed, I consider 4 of them far enough along for the first iteration of this project.
Am I halfway there? Not quite. But now you know what I’m up to. I’ll share progress and breakthroughs as I go.
See you next week
Thanks for reading.
As always, my inbox is open if you have any ideas or suggestions.
~ Digital Dave