My beta users are using my product very differently than I expected. What would you do next?
I’m building a small AI tool for Excel and we’re currently in beta.
We recently got our first real group of users, mostly from a Facebook campaign. Right now I’m not really focused on monetizing them. I’m trying to understand how people actually use the product before we spend months building things nobody wants.
So I started going through the requests real users were making.
I expected people to mainly ask for formulas, data cleaning, fixing errors, calculations, charts, etc.
And they do.
But one thing showed up way more than I expected: dashboards.
A lot of different users were uploading an existing spreadsheet and asking for some version of:
“Turn this into a dashboard.”
“Create a professional dashboard with KPIs.”
“Clean this file and make a dashboard.”
“Make something I can present to management.”
That made me question whether I’ve been thinking about the product the wrong way.
Maybe the real problem isn’t:
“I need an AI assistant for Excel.”
Maybe it’s closer to:
“I have this messy spreadsheet. Make it useful, professional and presentable for me.”
And now I’m at that awkward early-stage point where I don’t know how much I should trust this signal.
Do I keep building a broad Excel AI that can handle lots of different tasks?
Or do I take what users are already telling me through their behavior and go much deeper into dashboards, reports and turning raw spreadsheets into something actually useful?
I don’t want to pivot based on one early signal, but I also don’t want to ignore the first obvious pattern coming from real users.
If you were building this, what would you do next?
Would you double down on this use case and test it harder, or keep the product broad for longer?