Before Onboard.io, Jason Hancock's implementation team at Curve Dental was running customer onboardings on a stack that had been quietly stretched past its limits. Jira tracked the work internally. Customers received their plan through Zoom presentations, long email templates, and links to documentation. Task tracking was handled by individual project managers — some used spreadsheets, some used Google Tasks, some used handwritten notes.

Updates went out manually, mostly during weekly check-in calls. If a customer needed to know what was happening between calls, someone had to remember to send the email. When that didn't happen — and it often didn't — customers were left to assume.

"We would have customers terminate and express frustration in not knowing what was going on with their onboarding," Jason said. "They haven't been updated in weeks, they don't know what the next steps are, they aren't getting clear instruction from their project manager, they were never told to complete a certain step at a certain point in time, they were unaware of specific requirements they needed to meet."

The team had already tried to fix the cadence. The original model was three or four ninety-minute calls — kickoffs that tried to cover too much ground in too little time, followed by weeks of silence, followed by another marathon meeting. Customers left those calls fatigued. PMs left them exhausted. And the gaps in between were where escalations were born.

In preparation for rolling out Onboard, the team moved to a weekly thirty-minute meeting structure. The cadence was right. The tooling still wasn't. PMs were still tracking tasks on their own. Calls regularly ran long because there was no shared structure to keep them on rails. The new rhythm exposed the same underlying problem: no single source of truth, no automated communication, no way for a customer to see what was happening when they weren't on a call with their PM.

Most onboarding teams measure their work in time-to-value. Jason measured it in cancellation calls. On average, five to six customers per month were escalating over onboarding concerns. One or two of those were terminating outright — citing onboarding, not the product.

The downstream damage was harder to count. Customers who had a poor onboarding experience didn't always churn during onboarding. They churned three months later, when a routine support issue or a software hiccup tipped them over an edge they were already standing on. That churn went on the books as product or support, but its real origin was earlier.

The cost compounded inside the company too. Customers who didn't complete their onboarding tasks created downstream load for account management and support. Services that should have been set up before go-live were forgotten or deprioritized, and someone else had to clean up later. Every escalation was a tax on the next team in the chain.

A note on what Onboard didn't fix: Curve Dental's overall churn rate hasn't dropped meaningfully since adopting Onboard. That's an honest read of the data — and it's worth saying out loud. Onboarding software doesn't fix product-market fit, pricing, or support gaps. What it fixes is churn that originates inside the onboarding process itself. By that measure, the impact at Curve has been close to total.

Time-to-live dropped modestly — from around seventy days to roughly sixty. The more meaningful change is what those sixty days now contain. Customers reach go-live with their ancillary services configured, their training completed, their third-party integrations ready, and their add-on modules in place. Surprises on go-live day, the kind that used to seed escalations weeks later, became unusual.