When I was selling things myself, the iPhone video with bad audio always beat the nice version. Just someone at a kitchen table showing the product, no lighting, no edit.
Now I'm doing marketing for a launch, and I keep catching myself making things prettier when I should be making them more real.
We run 10+ image models plus Veo 3.1 and Seedance 2.0 behind one studio. Until recently every generation record stored the prompt and the output file and nothing about which model produced it. When there was one model that was fine.
With a router it means every quality complaint ends in a shrug. Someone says the face drifted between the image and the video, and I can't tell them whether that was the model, the seed or the upscale step, and I can't reproduce it either because the router might pick differently next time. So the report goes in a doc and dies there.
Writing model, version and the reason the router picked it onto every output has done more for quality than any prompt work we did this year. Not because the models got better. Because complaints stopped being about the product in general and started being about one model in one situation, which is a thing you can actually fix.
The open question for me is whether users should see it. I want to show the model on every output. My cofounder thinks it just gives people something to argue about and moves the conversation off the work. If you route across models, do you expose that or keep it internal?
When someone hesitates before clicking a key action button, that hesitation shows a lack of confidence, but it's difficult to resolve without knowing the source of their doubt. I think asking them what worst-case scenario they were worried might happen next reveals more than adding another tooltip.
For those who craft product messaging, what follow-up question helps you get from "I wasn't sure what would happen" to copy that builds total clarity?
I ve been exploring MCP, an open standard from @Anthropic that aims to simplify AI integrations.
In theory, this should make it easier to connect AI with databases, task managers, or even development tools. But I m curious to know how well it actually works in practice.
I have 5-6 personal email addresses and want to streamline the whole process by collecting and responding from one place. Please suggest tools/ways/methods to simplify the whole process and increase productivity :)
It would be great if social DMs (Facebook, Twitter, IG) etc could also be handled from the same place. In short, Intercom/Front/Drift like tool but for personal use
We launched our SaaS at a low "early adopter" price two years ago. It was great for getting feedback, but by month 18, our support costs were eating us alive. We were attracting users who wanted everything for $9/mo but needed 3 hours of onboarding each.
Three weeks ago, we bit the bullet and raised our base plan from $19 to $23 (a 20% increase) for all new customers. We grandfathered existing users for 6 months to soften the blow.
The immediate reaction was a mix of silence and a few angry emails. Over the next 21 days, our new signups dropped by about 15% compared to the previous month. I panicked. I thought we had priced ourselves out of the market.
But when I pulled the revenue report this morning, our MRR from new customers was actually up 8%. The users who did sign up were much more serious, asked fewer support questions, and converted to annual plans faster.
A few of my consulting clients have their teams using my products every day. So feedback shows up fast, and I usually get requests done the same day.
I've come to think the best thing you can do early on is get your heaviest user on your side. In my case the first heavy user was me, and the client teams came next.
How fast do you usually act on feedback from your users?
