G2

April G.

Vice President of Sales and Marketing

Health, Wellness and Fitness

Mid-Market (51-1000 emp.)

8/22/2026

"Validates a cohort is ready before live accounts"

5/5

What do you like best about Second Nature AI?

My roadmap asks tend to land, and I have flagged features that shipped within a quarter. Thirty-plus languages meant our overseas sales teams finally ramped at the same level. The customer success team grasps what I am solving, not just how the tool works. It widened where I could apply ramp, well past the core sales team. Every new hire now ramps to the same bar regardless of trainer. The cohort data points me at patterns I can turn into sales coaching. It gave me the evidence to defend the program's budget. The data tells me who is ready to carry quota and who needs another cycle. Review collected by and hosted on G2.com.

What do you dislike about Second Nature AI?

The moving avatars are not perfect yet, and I gather a better one is on the way. Review collected by and hosted on G2.com.

What problems is Second Nature AI solving and how is that benefiting you?

Speed to competency was too slow, with new reps taking weeks, and they get there in days now. Each cohort got a different experience depending on the trainer, and the shared scenarios standardized that. Reps were effectively learning on live calls and the misses cost us, but now they work the scenario through before touching a real account. Validating readiness used to mean sitting in and judging by feel, and the data gives me a defensible read instead. Onboarding drained capacity I needed elsewhere, and standardized self-practice gave it back. I had no read on which reps knew the product, and the breakdown now shows me who is solid and who is guessing. Training time was inefficient, with reps sitting through material that missed their gaps, and now they drill the specific weak spot. Review collected by and hosted on G2.com.