Sensaro AI
Sensaro turns NPS feedback into actionable product improveme
Ever tried setting up Mixpanel or Qualtrics? It's a nightmare - loads of time and effort that simply isn't worth it if you're early stage. 100's of features, with only about 3 that you'll ever use. Not to mention the cost.
That's one of the reasons I built sensaro.ai. Collecting NPS and getting useful information back shouldn't be that hard.
I built a quick prototype and then started testing with friendly contacts.
They added the simple code snippet to their site and sat back (probably not expecting much). But pretty quickly their customers started submitting their NPS scores and importantly WHY they had given the score they did.
Sensaro began going through the data and finding patterns and opportunites for product improvements that would reduce churn, increase life time value and improve overall NPS.
“We set up Sensaro NPS in minutes and got more signal in a week than we'd got from months of interviews.” said one (I don't know how well their customer interviews were being run!).
“Sensaro spotted 3 key issues common to all our detractors. Fixing those drove our NPS up and reduced churn by 10%.”
Real outcomes from about 3 minutes of effort adding a <script> to the <head> of your app.
NPS is a well known metric for understanding customer sentiment of a product of service. It's industry standard for VCs and other investors.
Whats really valuable though is knowing WHY someone is a detractor, or a promotor, and importantly, what you need to change about your product to move the needle.
As a PM for 15 years I'm always looking for ways to get unbiased, genuine feedback from customers. I built Sensaro to help with this. It's a simple tool to collect NPS scores, and then analyse the data to uncover key insights, opportunites and intellence by segment (detractors, passives and promoters), so teams can work on the most valuable things.
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