When we launched our software year we set the price at nine dollars a month because we were afraid that nobody would pay more for an early stage tool. Signups came in fast. Our support costs soon grew faster, than our revenue and working late nights became unsustainable.
Of raising the price on the entire public landing page we ran a quiet experiment with new visitors. We added a forty nine dollar tier that included priority setup support. We expected the conversion rate to fall to zero. Surprisingly twenty percent of new users chose the higher tier.
The higher price attracted serious users who needed less hand holding and who valued the software s core utility. Our monthly recurring revenue tripled, even though the customer volume was cut in half proving that underpricing was our bottleneck.
How did you find the courage to raise your price. How did your early users react?
We deliberately avoided adding forced product tours or initial setup calls because we wanted a totally seamless, self-serve sign-up flow. But tracking analytics showed that users who didn't complete setup within their first 15 minutes almost never came back. Adding just one required setup screen cut our drop off rate significantly.
Do you prefer keeping onboarding completely frictionless, or is adding a bit of friction worth it if it guides users to value faster?
With this whole AI trend, many tools are trying to be invisible: not apps you open, but helpers that quietly run in the background. They show up just enough interface: a chat box, a nudge, or an API call to deliver value, but otherwise stay out of sight.
With today s agent hype, this idea feels like it s accelerating. Agents promise to handle tasks across your apps without you lifting a finger.
We thought giving users a 30-day free trial would give them plenty of time to explore everything and fall in love with the app. Instead, most signed up, poked around on day one, forgot we existed, and then churned when the automated reminder email went out. When we shortened the trail to 7 days activation actually shot up because it created a sense of focus.
What length of free trial or sandbox experience has worked best for getting users to their "aha" moment?
Dragging a dead project along for months just because you've already put so much time into it is a terrible feeling. I've been there you know deep down after month two that the idea has no traction but you keep writing code every night just to avoid admitting it failed.
Deleting that repository hits hard because it feels like throwing away all those late nights.
Looking back what was the exact sign that made you finally kill your project instead of pushing through?
I emailed someone who cancelled and asked why. Not a survey a real question, from me, personally.
They told me. Honestly and in detail. It was the most useful feedback I've gotten in a year, and it arrived from someone who had absolutely no reason to be nice to me.
My co-founder and I love how fast we can ship using OpenAI endpoints, but the unpredictable monthly bill is forcing us to cap feature usage. It feels terrible having to limit user experiments just to keep costs under control.
We're tempted to switch to self-hosted open-source models for predictable hardware costs but taking on server maintenance and potential drops in output quality gives us pause.
Each strategic initiative has its own goals and KPIs, but the data is spread across different teams and tools.
Before every leadership review, someone has to chase updates by email, wait for responses, reconcile numbers, and piece everything together.
The leaders I interviewed described reporting cycles that consumed 20 60 hours of manual effort. And by the time the information reached leadership, some of it was already outdated.
But what interested me most wasn't just the time being lost.
