Support teams are often the first to know when something breaks, when customers are confused, or when a feature doesn’t land. They have more direct conversations with users than any other function.
And yet, in many companies, their insights rarely make it to the roadmap, the campaign brief, or the sales strategy meeting. That’s not just a missed opportunity. It’s a structural gap.
The organizations that win are the ones that listen
When companies build structured feedback loops from support into the rest of the business, everything changes. Product teams spot usability issues earlier. Marketing stops guessing what users care about. Leadership gets context, not just metrics.
In Hiver’s latest podcast episode, we spoke to Sarah Caminiti, Customer Support Manager at Tailscale, about what this can look like in practice.
Before AI tools existed, Sarah was manually analyzing every support interaction — identifying product gaps, broken documentation, even potential upsell opportunities. Over time, that work evolved into a system where support insights directly shaped product and operational strategy.
“It wasn’t about auditing agents,” she explains. “It was about finding the real problems and making sure someone addressed them.”
Feedback quality starts with team safety
Insight doesn’t surface on its own. It comes from teams that feel psychologically safe enough to speak up, to say when something doesn’t make sense, or when customers are struggling.
And that kind of team culture doesn’t happen by accident. Sarah talks about how building that safety layer — where agents can be honest, ask questions, and flag issues without fear — creates better support experiences and, ultimately, better products.
“When your team feels safe, the customer feels safe. And that’s when the real feedback starts to show up.”
AI should enable and not replace thoughtful support work
As support teams begin to surface deeper customer insights, the next challenge is scale. Manually analyzing every ticket, pattern, and trend isn’t sustainable — especially for growing teams.
That’s where AI comes in.
Sarah’s team now uses AI tools to analyze support trends at scale. A massive time-saver compared to the hours she once spent combing through tickets manually. But she’s clear on one thing: AI shouldn’t talk to customers without proper QA.
Bridging the gap between saying and doing
It’s easy to claim customer centricity. But if support leaders aren’t part of product planning, if customer feedback isn’t reflected in the roadmap, and if tech debt keeps getting pushed, then it’s just a tagline.
Sarah encourages CX and leadership teams alike to ask hard questions.
How much of our roadmap is shaped by customer input? Where does support sit in strategic conversations? Are we listening to what customers actually experience, or just measuring it?
Support sits at a unique vantage point in any organization, where product realities meet customer expectations. It’s not just a function for resolution, but a channel for insight, influence, and trust-building.
When companies stop treating support as reactive and start recognizing it as a strategic lever, they gain more than operational efficiency. About what’s working, what’s broken, and where the real opportunities lie.