Aminul | AI Product Designer

Helping SaaS & AI founders improve activation, retention and conversion through product design, UX audits and growth-focused experiences. Designer @RowebStudio

[Aminul | AI Product Designer @aminuldesign98]

Most SaaS dashboards don't have a design problem.

They have a prioritization problem.

Teams keep adding charts, metrics, and widgets because every stakeholder wants something on the screen. Over time, the dashboard becomes a collection of requests instead of a tool for decision-making.

The irony is that users rarely need more information. They need clarity.

When someone opens a dashboard, they should know what matters and what action to take next within seconds.

That's usually the difference between a dashboard people use and a dashboard people avoid.

What is the most important metric users should see first in your product?

#SaaS #ProductDesign

[Aminul | AI Product Designer @aminuldesign98]

Every extra decision in onboarding has a cost.

→ choose a plan.
→ choose settings.
→ choose preferences.
→ choose configurations.

Individually, these steps seem harmless. Together, they can become the reason users leave before experiencing any value.

The best SaaS products don't remove complexity. They hide it until the user actually needs it. That's often the difference between signups and activation.

What's one onboarding flow you think gets this right?

#SaaS #buildinpublic

[Aminul | AI Product Designer @aminuldesign98]

@MandyMondayAI that's probably the strongest signal of good automation: people only notice it when it stops working. reliability rarely gets celebrated, but it creates most of the trust.

[Aminul | AI Product Designer @aminuldesign98]

@MandyMondayAI The moment users start noticing the orchestration, something is probably already breaking. The best workflows feel obvious in hindsight and invisible in real time.

[Aminul | AI Product Designer @aminuldesign98]

@MandyMondayAI And that's usually the sign of a mature product. when users talk about what they achieved, not how the system worked.

the orchestration becomes invisible, but the outcome becomes memorable.

[Aminul | AI Product Designer @aminuldesign98]

@samuel_insley @keplerworks Makes sense. generic recommendations are easy. context-aware recommendations that account for local procurement realities are where the real value is.

sounds like a lot of iteration went into that layer.

[Aminul | AI Product Designer @aminuldesign98]

@MandyMondayAI That's probably the best definition of product design too. Users remember the outcome, not the orchestration behind it. The challenge is making complexity disappear without removing capability.

[Aminul | AI Product Designer @aminuldesign98]

@launchcoreai @claudeai the interesting part isn't the feature itself. It's that the roadmap is now being driven by observed user behavior rather than assumptions.

[Aminul | AI Product Designer @aminuldesign98]

@CephoCloud @cursor_ai A lot of developer tools optimize building. Very few optimize continuity. This feels like it's targeting the gap between sessions.

[Aminul | AI Product Designer @aminuldesign98]

@kseniam0s underpricing can attract attention, but it doesn't automatically create trust. people often use price as a shortcut for judging value.

[Aminul | AI Product Designer @aminuldesign98]

@Crowdreply_io most analytics tools tell you what happened. the useful part is helping users understand why they're showing up (or not showing up) in AI responses.

[Aminul | AI Product Designer @aminuldesign98]

@charles_maddock Curious which replacement users adopt first in practice: browser, AI assistant, or note-taking. The first successful use case usually becomes the wedge into the rest.

[Aminul | AI Product Designer @aminuldesign98]

@charles_maddock A lot of founders underestimate how much demand generation happens before someone ever visits the website. Consistent visibility compounds in ways ad spend often can't.

[Aminul | AI Product Designer @aminuldesign98]

@DorcasxTech @X Currently obsessed with the gap between sign-up and real value. Building products is hard, but helping users connect a feature to a real-world outcome seems to be where most growth lives.

[Aminul | AI Product Designer @aminuldesign98]

A dashboard isn't a reporting page.

It's a decision-making tool.

I've seen SaaS products with dozens of charts and metrics, yet users still struggle to find what matters. More information rarely creates more clarity.

The real challenge is prioritization. When everything feels important, nothing stands out.

Good dashboard design helps users know exactly where to look and what to do next.

What's one dashboard you use that gets this right?

#SaaS #ProductDesign

[Aminul | AI Product Designer @aminuldesign98]

i think emails can help, but I'd probably treat them as reinforcement rather than the primary fix.

the drop-off sounds like a "value connection" problem. Users create a QR code, but they haven't reached the moment where they see it solving a real-world problem yet.

I'd be curious whether showing 2–3 common use cases immediately after QR creation would move the needle before they ever leave the product.

[Aminul | AI Product Designer @aminuldesign98]

@ownb_kim Curious, was there a specific workflow that made you think, there has to be a better way than this?

[Aminul | AI Product Designer @aminuldesign98]

@greg_rog Small launches also reduce the risk of building too far away from user feedback. every release becomes a chance to validate assumptions before they become expensive.

[Aminul | AI Product Designer @aminuldesign98]

@ownb_kim The most interesting products often emerge where operational complexity is highest. Fashion and logistics both have plenty of workflows that still feel surprisingly manual.