John Hoad, a senior marketing consultant at DCMN, spent an hour on this live call doing what most beta testers never do: telling me exactly what was wrong with the thing I built.
I don’t code.
Everything here was built with Claude, an AI coding tool, and I’m still learning how to direct it. This is the real, unfinished version of the Signal Forecaster, handed to a real user with a real prospect already loaded into the tool.
John’s feedback, unfiltered: the deck’s opening slide explains market trends to whoever’s presenting, when it needs to introduce the actual prospect’s challenge. There’s no client-name personalization on the title slide yet. The branding needs a way to disappear into whoever’s using it, so a prospect never mistakes it for a competing product. He wants an editing feature before the deck locks, a place to upload brand guidelines so fonts and colors match exactly, and a localization option for international prospects.
His confidence rating on the current build, walking into a live conference in 10 days: 4 out of 5.
John writes Working Lunch on Substack, marketing case studies built for your lunch break, and co-hosts the Studies in Human Want podcast.
Five pilot spots are open for fractional CMOs and consultants who want a tool like this in their own hands: [Signal Forecaster pilot link], in exchange for a 20-minute feedback call.
Thank you to everyone who tuned into my live video! Join me for my next live video in the app.
