We built OFFO to answer a simple question: does this EV actually fit my life? Three months in, we have real data. Not survey data, not focus groups — behavioral data from people who used the tool to evaluate actual listings and map actual routines.
Here’s what 286 EV fit checks, 133 deal checker receipts, and 1,000 unique visitors taught us about how real people evaluate EVs in 2026.
By the numbers
Those 3,269 visits came from people actively in the research phase of an EV purchase — not casual browsers. The 286 fit checks represent people who completed a full routine questionnaire: they told us how far they drive on a typical day, their hardest day of the week, whether they have home charging access, and what their budget looks like.
The vehicles people are actually evaluating
The most-checked vehicles weren’t the ones you’d expect from a headline EV list. Here’s what people ran fit checks on most often:
- 1Hyundai Sonata HybridBudget-conscious buyers testing hybrid vs. full EV
- 2Chevy Bolt EVHigh range-per-dollar, strong used market
- 3Nissan LeafMost common used EV in the $12–18k range
- 4Ford Escape SE Plug-in HybridCommuters with uncertain home charging
The Sonata Hybrid topping the list is a signal worth paying attention to: a large portion of our users are “EV-curious” but still hedging. They’re comparing hybrids and full EVs side by side before committing. The Bolt and Leaf entries confirm what we see in the used market — these are the accessible entry points, especially for first-time EV buyers under $20k.
What the questionnaire revealed about buyer readiness
The fit check questionnaire has eight fields. Four of them drove virtually all of the variance in whether someone got a Good Fit vs. Mixed Fit verdict:
The takeaway: EV fit is less about range anxiety and more about three practical anchors — where you charge, how bad your worst day is, and what you can actually spend. The questionnaire structure reflects this, and the data confirms it holds.
What users said
We didn’t prompt users for feedback — the rating prompt appears naturally at the end of the fit check flow. The 87.5% recommendation rate is particularly meaningful because it came from people who got Mixed Fit verdicts too, not just Good Fit. The tool told them something useful even when the answer wasn’t a clean yes.
“It actually made me reconsider the Bolt. I thought range was the issue but OFFO flagged that my Tuesday commute pattern was the real variable. That changed how I looked at the problem.”
— User feedback, February 2026
The signal we didn’t expect: the Garage gap
Here’s the number that surprised us: 2 listings saved to My Garage.
286 fit checks. 133 receipts. 2 saves. That’s a 0.7% save rate on a feature designed to be a core retention mechanism.
What this tells us
Users aren’t failing to find value — they’re finishing the flow and closing the tab before saving becomes compelling. The save action is optional and buried. Most users don’t understand what “My Garage” gets them until they’ve already left.
This is a UX problem, not a product problem. The fit check and receipt generate real value — the feedback confirms it. But we never convert that value into a reason to return. Every completed fit check should end with a clear save-or-share moment, not a passive option buried in the UI.
What we’re doing about it
Two changes are rolling out based directly on this data:
The broader lesson: 286 people trusted OFFO with a real decision. The data says we gave them something useful. Now we need to give them a reason to come back to it.
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