← Back to Onboardics A new category

Diagnostic-first analytics.

There are tools for analytics depth. There are tools for shipping no-code overlays. Onboardics is neither — and naming the category honestly matters more than dressing up as both.

For the last decade, “product analytics” meant one of two things. Either you bought a deep instrumentation platform and hired a team to run it, or you bought an overlay builder and shipped tooltips without engineering. Both work. Neither tells you which leak in your funnel matters most this week, why users actually dropped off there, and exactly what to change in code or in a flow. That third thing is what we build. The category is diagnostic-first, and Onboardics defines it.

The three categories

What you're actually shopping for

Most teams comparing analytics tools assume they're picking between vendors. They're not — they're picking between jobs the tool is built to do. Three different jobs, three different categories. Knowing which one matches the team you have today is the most useful filter you can apply.

Category 01

Analytics-depth

“You wanted depth, and a data team to run it.”

Tools in this category give you raw event instrumentation, custom event taxonomy, SQL access to your warehouse, multi-touch attribution, and the dedicated infrastructure to run them well. They scale to billions of events. They unlock cohort analysis at a fidelity nothing else matches. They reward you for having an analytics engineer, a growth PM, and a data warehouse.

Onboardics's stance Excellent at what they do. Not what we do. If you have the team to run them, use them — they go deeper than us, and they earn that depth.
Category 02

Overlay-first

“You wanted to ship a tooltip without filing an engineering ticket.”

Tools in this category give you visual flow builders, no-code tooltip and tour primitives, in-app messaging, and the production infrastructure to render overlays on customer sites. They sell you a way to ship onboarding content without writing JavaScript. They're optimized for teams whose biggest constraint is engineering bandwidth.

Onboardics's stance We have a flow builder too — it ships on Deploy and above. But that's not the part of the product that earns its keep. Overlay-first tools sell you a flow builder and call it a day. We sell you the diagnosis that tells you whether a flow is even the right answer.
Category 03 — what we build

Diagnostic-first

“You wanted the AI to tell you why users drop off and what specifically to change.”

Tools in this category sit on top of the analytics layer and read your funnel data the way a senior product person would — surfacing where the leak is, classifying whether the fix is structural (a code change in your UI) or addressable with an overlay (a tooltip, banner, modal), and prescribing the specific copy + selector + trigger you'd ship.

Deploy+ ships the overlay path automatically. Diagnose hands you the code spec for your engineer. Either way, the AI is the load-bearing part of the product, not a feature bolted onto a dashboard.
Onboardics's claim We're the only tool building this primitive seriously. The category exists because the gap between “what does the data show” and “what should I do this week” is the most expensive bottleneck in early-stage SaaS, and neither analytics-depth nor overlay-first products fill it.
The honest framing

Diagnostic-first is what we build, not what every team needs

If your team is at the scale where you have an analytics engineer running the warehouse, the diagnostic-first category is probably too prescriptive for you — you'd rather see the raw data and form your own hypothesis than have AI hand you a ranked list of fixes. That's a legitimate workflow and analytics-depth tools are better for it.

If your team's biggest constraint is “we want to ship a tooltip but engineering is booked,” the diagnostic-first category is probably more product than you need — you don't want diagnosis, you want the overlay primitive. Overlay-first tools are better for that.

Diagnostic-first is built for founders and small teams who can't afford a dedicated analytics function and won't accept “ship more tooltips” as the answer to every drop-off. If that's you, the category exists because you exist. Most products in this space were built for someone else.

How to know which category you're shopping in

Five honest questions. Your answers point at the category, not the vendor.

01   Do you have an analytics engineer or growth data scientist on staff today?
If yes Analytics-depth. You'll get more out of raw SQL access than out of AI prescriptions, because you have the people to write the queries.
02   When you describe your biggest onboarding problem, do you say “I know the fix, I just can't get engineering to ship it”?
If yes Overlay-first. You don't need diagnosis, you need a no-code primitive that ships overlays without engineering tickets.
03   When you describe your biggest onboarding problem, do you say “I don't actually know where users are getting lost, or whether a flow would even fix it”?
If yes Diagnostic-first. The job is “tell me where the leak is and whether it's a code fix or a flow fix” — that's what we built.
04   Are you processing more than 100M events per month or do you need warehouse-grade SQL access?
If yes Analytics-depth, and probably a custom warehouse stack. Our pricing tops out at 30K MAU on Business — the architecture isn't built for that scale.
05   Are you a founder or small team (under ~25 people) without a dedicated analytics function?
If yes Diagnostic-first is built for you. The other two categories assume specialists you don't have. We don't.

Diagnostic-first sounds like the job?

Try the live demo on a real dashboard with no signup required. Or if any of the quiz answers landed somewhere else, the page below names the situations where Onboardics is the wrong choice and points you at the better-fit tool.

Try the live demo → See who we’re not for