"Honestly, it just could not be more different from all the playbooks that we've all been taught in tech in the past,"
"Digging into that is super critical to ensure that this is a tool, a solution, a platform that's here to stay, versus something that they're just testing and trying out."
"How frequently are your customers engaging with the tool and the product that they're paying for?"
AI startups face distinct product-market fit challenges because AI technology evolves rapidly rather than remaining static. Founders should monitor whether customer spend shifts from experimental budgets to core CXO budgets to indicate durable adoption. Measurement of user engagement via daily, weekly, and monthly active users helps assess how often paying customers use the product. Qualitative customer interviews provide nuance to quantitative metrics and reveal likelihood of retention. Observing integration versus experimentation distinguishes enduring platforms from short-term trials. Classic metrics remain useful but require contextual interpretation amid continuous model and capability changes.
Read at TechCrunch
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