When I notice a project dragging, my reflex is always to cut scope. Trim the feature down, ship the smaller version, get something out the door instead of polishing the grand plan forever.

And usually that's the right call. Most of the time I was building more than the problem actually needed, and cutting it loose feels great.

We used to blame our UI or missing integrations every time a paid account downgraded. But after jumping on exit calls, a harsh truth came up: the product worked fine but it forced teams to completely upend their daily routines just to use it.

Throwing more features at a workflow mismatch is just building debt.

For those who've tackled this: how did you redesign onboarding to match your users' natural habits instead of fighting them?

I build faster now with AI than I ever could by hand. Things that used to take me a weekend now just take a prompt, and a lot of that is stuff I genuinely couldn't have written cleanly myself.

So part of me looks at non-technical founders asking whether they should learn to code and thinks the honest answer might be no, or at least not the way I did it. Spending six months grinding through tutorials to write code an AI will write better feels like a waste of time.

I m a product designer, and I m not sure what my job will look like in 3 years.

A couple of years ago, being good at Figma, understanding UX patterns, and building clean interfaces felt like a pretty solid skill set.

Now AI can generate decent-looking screens in minutes. And it s getting better at the things designers used to spend hours doing.

I don t think designers are going to disappear. But I d be lying if I said I wasn t thinking about what makes us valuable anymore.

When users cancel their subscriptions their automated exit survey feedback is almost always polite and vague usually citing budget cuts or lack of time. Those generic answers never gave us detail to fix our actual product flaws.

We changed our email template to ask one question: "What specific task were you trying to finish today when you decided to cancel your account?" That shift in wording changed everything because it forced people to talk about a concrete workflow moment.

Of getting vague complaints about pricing we started hearing exact details about confusing button placements and slow load times. Those specific insights gave our design team direction on what to fix each week.

What phrasing works best when you ask departing users for feedback, about your product?

I fell into a trap where I tried to optimize every minor step in my daily routine. I d waste a whole afternoon building a complex setup for a task that only takes five minutes a month.

I realized that a basic manual process you understand instantly is way better than a complicated setup you constantly have to fix and maintain. Now I only automate things that waste significant time every day.

I used to spend hours searching for new apps and setting up quick templates just to save a few minutes on small daily tasks.

It felt like real work, but i was just overcomplicating simple things that didn't matter.

Now if a task only happens once a week, i just do it manually and move on.

The hardest part isn't getting someone to try your product or finish the setup wizard it's surviving week three when the initial excitement wears off.

We noticed people stopped logging in simply because our tool wasn't tied to any existing morning routine or trigger. Once we introduced subtle trigger notifications and made recurring tasks easier to set up, retention finally flattened out.

What changed the game for you when you were trying to transition users from occasional visitors to daily power users?

We promised direct, instant 24/7 founder-led support to every new customer to stand out from larger competitors. At first, customers loved the personal attention, and our retention rates were higher than ever.

But as our user base grew, this turned into a constant stress point. Our team is now overwhelmed by midnight support tickets, resolving minor edge cases, and hand-holding users through basic onboarding. As a result, zero time is left for high-level strategy, product improvements, or scaling our marketing.

It made me realize that over-servicing customers early on builds unsustainable expectations that break the moment you try to grow.

Have you ever over-indexed on manual customer support, and how did you transition to automated or self-serve systems without upsetting your early users?

It feels like the whole junior hiring playbook is broken. Standard take-home assignments don't work anymore because candidates can just generate an entire app in minutes and companies reacting by raising the bar to ridiculous mid level expectations are shutting out great talent.

We shifted our focus away from raw code generation during interviews and started looking closely at code review and debugging skills instead.

How has your team changed its hiring process to actually spot good potential in junior devs when AI can fake the basics?