See if we're a fit
Before we book a call, let's make sure this is worth your time.
Goblins isn't for every district, and we're not trying to pitch you. Watch the 4-minute walkthrough, then tell us about your situation. If we're a match, we'll get on a call. If not, we'll say so — and point you to something that actually fits.
~4 minutes
Matchmaker framing
This is a fit check, not a pitch deck.
The goal is simple: get enough context to decide whether a walkthrough is worth your time. If the district, the use case, and the timing line up, we move forward. If not, we stop there.
You have a real Tier 2 math intervention problem to solve.
Someone on your team owns the decision and can move a pilot forward.
You want to test the fit before you spend time on a longer call.
What happens next
Watch the walkthrough first, then answer the form. That keeps the conversation focused on fit instead of forcing a generic demo.
Tell us about your district
A few quick questions so we can show up prepared — not pitch a generic demo.
What's your role in the district?
This helps us match you with the right case study before your call.
FERPA-compliant. Student data does not train AI models. DPA available for districts.
Districts who said yes
Short notes from teachers and administrators who saw Goblins in practice.
"As a tier two product, I feel like it would be the best fit. I don't think there's really a competitor out there."
"It didn't give me the answer, but it actually walked me through as if I was there with the students."
"It doesn't give answers. It helps point toward an answer."
"It felt closer to a real interventionist than a worksheet engine."
"Students who usually shut down stayed in the problem longer because the support showed up at the right time."
"The biggest difference was seeing the reasoning, not just whether they got it right."
"It helped us talk about intervention in a more precise way. We could finally see where students were actually getting stuck."
"I didn't have to reteach from scratch. The tool carried the questioning approach I would use myself."
"This felt useful immediately, not like software we'd need a semester to decode."
"What sold me was that it slowed students down in a productive way instead of just blocking them."
"The walkthrough made it obvious this was built around actual classroom friction, not generic AI hype."
"We could picture exactly how a pilot would run after one conversation."
"This is one of the few tools where the teacher view matters as much as the student experience."
"It gave us a better read on fit in minutes than most vendors do in a full demo."
"The pilot path felt concrete. We knew what we'd test, who would own it, and what success would look like."