76% weekly usage is a habit-formation problem, and habit-formation problems are what I fix first.

The Pitch: Where I'd Start

I'd start with exactly what I already built: a verified competitive landscape mapping Skylar against Second Nature, Hyperbound, and Quantified, checked against your own white-label channel and the 76% weekly usage number on your About page, plus a buyer-journey read on how a sales leader evaluates a tool like this. Read the note →

Beyond the note, my first move in this role would be instrumenting the real signup-to-first-completed-roleplay funnel before touching any messaging, the same order of operations I used to rebuild onboarding and lifecycle automation at Reform, a bootstrapped SaaS company. I'd also want to know whether white-label partners get any usage visibility today, since that channel is the one place Skylar's differentiation holds against the enterprise players named in the note.

I build the tracking and automation myself rather than only operating someone else's dashboard, which matters on a small team with no separate data function to lean on.

The Proof

The clearest evidence of how I'd think about Skylar's category is the note itself: Second Nature, Hyperbound, and Quantified verified live against their own current sites, not recalled from memory, mapped against your own stated differentiation. Read the note →

At Reform, a bootstrapped SaaS company, I rebuilt onboarding and lifecycle automation and lifted trial activation 34% and onboarding activation 18%. I also built the Prospect & Outbound Engine, a self-built scraping and verification pipeline run at production scale, and the Marketing Agent Skills library, 81 skills I built and run daily, 34 published on GitHub.

Let's talk about Skylar.

If this is the right problem for you, I'd like to talk about it directly.