Compare Quarterzip and Cora AI: the interface for AI diffusion versus CSM workflow automation. See which approach fits the activation problem you're solving.
Quarterzip is built for the new shape of the problem. A voice agent reads the live UI, talks to the user while it watches their screen, and walks them through new capability in the context of their actual work.
Agents that talk to the user
Cora acts on data about the user, what they clicked, what they didn't, where the health score dropped, which playbook should fire. The data is useful and the workflow automation is genuinely capable. What it doesn't include is the actual conversation with the user about what they're trying to do and why they're stuck. Quarterzip is that conversation.
Activates AI features that the data layer can't fix
The activation gap on AI features isn't a workflow problem the CSM can solve with better alerts. The user looking at a new AI capability is trying to work out what it does, whether to trust it, and whether it's worth changing the way they've been doing the job for years. None of that surfaces in a usage signal until after the user has already decided. Quarterzip is in the conversation while the decision is being made.
Operates at the diffusion layer, not the operational one
Cora's lift comes from making the post-sales team more efficient. Quarterzip's lift comes from making the product more usable to the people it was built for. Both are real, but they're measuring different things. Efficiency is a denominator move. Diffusion is a numerator move, it's the AI capability the company has already shipped actually reaching the users who pay for it.
