Zac Muir's team at Sisu was filing roughly 80 internal RevOps requests a week at the peak of their Salesforce days. After moving to Close, that number settled around 10. Alongside the ticket drop, he estimates six figures saved on the tech stack and sales activity up — the most concrete data point in a new panel discussion among three sales leaders who have lived through CRM switches.

The discussion, featuring Muir (VP of Revenue at Sisu), Mariah Williamson (co-founder of RevPilot, who has run hundreds of migrations for founders and sales teams), and Elijah Cramer (VP of Sales at LaneFinder, who joined just after his CEO switched away from HubSpot), maps the migration into four stages. Each stage carries specific warning signs and measurable outcomes.

Stage one: recognizing the trigger

Every sales process has friction. The diagnostic question is whether the CRM itself creates it. Muir's admission frames the failure mode: "I was so lost in the weeds of managing the business that I hadn't really put myself back in the rep shoes and said, what are they dealing with and what's going to make their life easier?"

The panel offers four concrete tests. First, audit where onboarding time goes — if new hires spend more hours learning fields than learning customers and product, the system is too complex. Second, spend a full day doing the rep's job: make calls, send texts, work follow-ups, and measure how much time goes to updating records versus working leads. Third, trace where information leaks out of the system — missed follow-ups, sticky notes, customer conversations on personal phones. When critical detail lives outside the CRM, leadership loses the ability to trust the data.

Fourth, and least commonly done: count the cost of staying put. "What's being underestimated is the cost of not switching," Williamson said. "You're losing leads, you may be overpaying for a system. There's these other costs that are being underestimated that aren't even being talked about in that process."

Stage two: choosing the replacement

A feature list does not predict fit. Williamson's operating principle is blunt: "Without adoption, you have nothing inside of a CRM." Her advice is to write down non-negotiables before booking demos. For Sisu, that meant a dedicated calling and texting number per rep, automatic activity logging, and a buildable API.

Team size and process complexity should drive the choice — every added layer needs a purpose. Use the trial period to test daily adoption with real tasks: contact a lead, pull conversation history, manage follow-ups. Cramer's criterion became speed to competence: "I started asking, how quickly can somebody get in here and actually do their job, and is the system actually built for them? Because if it's built for them, they're gonna use it. Not only are they gonna use it, but they're gonna enjoy it. And adoption just becomes second nature."

Stage three: preparing the migration

Prep is the chance to fix broken processes before moving data. Teams can start from a clean slate or replicate the existing setup. Cramer chose the blank canvas: "It actually let me see the business for what it is today and actually identify problems and start building processes around what we need now."

Map the current process by following a lead from first contact to closed deal, including manual steps and automations. Williamson applies a hard filter to fields: "If there aren't any decisions being made off of those fields, we get rid of it. It's just noise inside of the system." If both CRMs will run in parallel, preserve original record IDs so records can be matched and gaps filled — the approach Sisu used to complete its move in about a month. Involve reps before launch so they can flag concerns while the build is still flexible.

Stage four: migration and measurement

The panel defines four post-migration metrics. Track problems in one channel, such as a Slack channel or ticketing system, and watch the volume — Sisu's 80-to-10 drop is the benchmark. Measure onboarding productivity: at LaneFinder, roughly 90% of onboarding time now goes to customers, product, and selling skills rather than CRM mechanics. Check whether leadership actually trusts the data, since simpler processes should tighten forecasting. And track savings alongside activity, not software bills alone.

Williamson names the two indicators her clients typically see: "Leadership trusting the data and reps reducing admin time."

Note the evidence limits here. The numbers come from three self-selected companies talking about their own decisions, with no control groups or stated methodology — the 80-to-10 and 90% figures are reported outcomes, not audited benchmarks. Still, the pattern — fewer tickets, faster ramp, trusted data — gives any team contemplating a switch a concrete checklist of what to measure before and after. The full stories appear in an on-demand webinar for teams that want to pressure-test the details against their own stacks.