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Reordering Decision Quality Is More Practical Than Calling for Anti-Consumerism

There is a kind of product that has always made me uncomfortable. It is usually very effective: it catches attention quickly and really can turn it into sales.

And that effectiveness is almost always built on the same things: stimulation, shorter paths, lower thinking costs, and stronger impulses.

These products do not care whether users make better decisions. They only care whether a decision happens faster. That shared direction keeps making me question them.

Because of this discomfort, I once seriously imagined a product that could add a layer of rational support before someone makes a purchase.

For clothing, for example, it could use the information already available to show whether a purchase makes sense for long-term use, instead of simply telling someone to buy less or buy more:

- Is there really a situation where I would wear it?

- Would it make better use of things I already own?

- Is the cost per use too high?

Logically, the idea made a lot of sense to me. It also matched what I have always cared about: cognitive judgment, decision quality, and a longer view.

But when I tried to imagine making it real, I slowly saw a few facts that could not be avoided:

- Decision support naturally has to enter the moment when someone is excited, and that creates tension with how most people behave.

- Better judgment usually needs more input, and most users do not want to stop for that.

- As an independent product, it would still have to deal with cold start, retention, and a real business loop.

Even if we had the ability to build it, the structural limits of human nature and the system itself would hardly give it a chance to survive.

I also thought of another keyword: e-commerce return rates.

In online clothing retail, return rates have stayed very high for a long time.

That is not only because people like returning things. It points to something deeper: many decisions are not properly checked before they happen.

There is a behaviour that the industry has quietly accepted. People buy something not for long-term use, but for short-term possession.

From the system's point of view, these transactions do not create real value. They keep using up logistics, inventory, and trust.

When I moved the question from “how do I make an app?” to “who is actually able to solve this?”, I realised something.

This kind of rational support does not fit an independent tool. It is closer to a platform-level ability:

- Platforms already have historical data.

- Decisions happen inside the platform.

- A rational prompt would not need an extra jump.

At that level, helping people make fewer low-quality decisions could actually increase long-term trust and willingness to return.

Reordering decision quality is more practical than loudly calling for anti-consumerism.

I also know that this logic will not have real ground in every market.

In an environment built around turning attention into money, slowing a decision down is already a challenge to the main metrics.

After all, every system has different goals.

I do not think technology can change human nature. Impulse, speculation, and short-term possession will always exist.

The important thing is what technology chooses to do.

It can keep amplifying these tendencies, or it can create a pause at a key moment and give people a chance to judge again.

In an age when algorithms are getting better and better at persuading us, helping people make fewer bad decisions is infrastructure in itself.

So I understand more clearly now that I am not looking for one product that is definitely possible. I am looking for a position from which to judge. (Also, having more apps means spending more time 🤔)

I allow myself to overturn old ideas, and I accept that my understanding will keep changing. More than keeping my views consistent, I care about whether my decision system is reliable.

If technology is going to shape the paths people take, then at least some technology is worth building for clarity.