One thing I’ve been thinking about while building Featly:
Founders don’t really buy analytics. They buy confidence in their product decisions.
When we ship a feature, we usually aren’t asking:
“How many clicks did it receive?”
We’re asking:
Should we keep investing in this?
Did it actually make the product better?
Was the last two weeks of engineering worth it?
Should we improve it, promote it, or stop building it?
Those are product-judgment questions.
Traditional analytics are good at showing what happened: page views, button clicks, sessions, funnels, and retention curves.
But founders still have to interpret all of that themselves.
You might see that a feature received 2,000 clicks. That still does not tell you whether users understood it, whether they came back to use it, or whether it meaningfully improved the product.
In a way, we become our own consultants. We look at the evidence, separate signal from noise, and decide what to build next.
That made me realize something:
Analytics products are not only competing with other analytics products. They are competing with uncertainty.
Consultants reduce uncertainty through experience and judgment.
Analytics reduce uncertainty by providing evidence.
The best products should probably help with both.
That has changed how I think about Featly.
I don’t want to build another dashboard full of charts that founders have to interpret alone. I want Featly to help answer questions such as:
Should we keep investing in this feature?
Is onboarding actually working?
Which features should we promote?
What should we improve or stop building next?
If the answer is just another graph, we haven’t done enough.
If Featly helps a founder make a product decision with more confidence because of something it surfaced, then we’re moving in the right direction.
I’m currently looking for 14 SaaS founders to join a one-month founding-member cohort. You’ll get 30 days of free access, direct support from me, and 50% off the public price for life if you decide to continue.
I’d especially love to hear from founders who have product data but still feel uncertain about what to build next.
What product decision have you struggled to make because your analytics showed activity but not meaning?
This is an interesting distinction. Analytics can tell you what happened, but the harder part is connecting that evidence to why it happened and what decision it should change. The gap between “data” and “actionable product judgment” is where a lot of the real work seems to be.
Exactly. That gap between “data” and “what should I actually do?” is what I’m trying to explore with Featly.
The interesting part for me is whether we can make that gap smaller without turning Featly into another complicated analytics tool.