PVcase is the leading end-to-end solar development platform—used by solar energy professionals in more than 80 countries to design, analyze, and build solar projects at scale. When you’re building software for people working to power the world, understanding what they actually need isn’t just good product practice. It’s the whole job.

The team ran a steady cadence of customer interviews. Over the years those recordings piled up—today the library holds around 700 conversations, each running close to an hour. The evidence was there. But no one could easily get to it.

Auto-generated transcripts from earlier tools were unreliable, making it hard to find specific moments or pull highlights without listening through recordings all over again. When a PM or designer needed to back a decision with customer evidence, finding the right clip meant a manual search through folders and files. Insights existed—they were just locked away.

The result was a gap between what the team knew and what they could quickly prove. Product decisions still got made—but they weren’t always grounded in the customer’s actual voice. That’s where Dovetail came in.

Dovetail’s arrival at PVcase started with one person: the team’s Lead Designer, who went looking for a better way to understand users at depth. When she found Dovetail, the transcription quality stood out immediately—and with it, the ability to pull precise highlights and share them across the team. Adoption spread quickly from there.

Today, around 16 designers and PMs use Dovetail as PVcase’s primary voice-of-customer layer. Every new interview goes into a library now approaching 700 recordings. Rather than searching manually through folders and files, the team uses Dovetail’s AI chat to query the entire library at once—getting cited answers linked directly back to the original recording, in seconds.

The intelligence that once lived in scattered recordings now lives in one place—accessible to anyone on the product team, with no knowledge required of where the research was organized or how old the interviews are.

One of the things PVcase’s team relies on most is the ability to pull exact video clip snippets—not just text quotes. When PMs put together a PRD or a business case, they embed these clips directly. Stakeholders don’t read a summary of what a customer said. They watch it.

That played out during a recent product review, where the team shared video clips to present a customer problem. Seeing the customer’s expression, hearing their exact words—it helped the group understand not just the surface issue but where it was coming from. The clips made the case for a new product direction in a way no written summary could.

Dovetail’s AI has also changed how discovery gets started. Rather than beginning from scratch, PMs can pull early findings from across the entire interview archive before a single new conversation has been scheduled.

“I used the Dovetail AI across all past interviews to put together some early findings about the procurement workflows and needs, and it really helped me to kick off the discovery with a great baseline.”

— Soraya Garcia Bustos, Senior Product Manager, PVcase

Whether it’s a tagged insight, a video clip, or an AI-generated summary, product decisions at PVcase now come with the customer’s own voice attached.

Dovetail doesn’t sit in isolation at PVcase. The team exports transcript summaries via the Dovetail API into Productboard, where they sit alongside other customer signals—creating an end-to-end view from raw interview to product roadmap.

PVcase builds software for highly technical users spread across 80 countries. For most of the product team, there’s no way to simply sit with customers and watch how they work.

"If we could glue ourselves next to the customer and observe what they’re doing, what challenges they’re facing—we would do that."

— Marius Puzaras, Product Operations Lead, PVcase

Dovetail solves this in a way no other tool has. The transcription quality means the raw material is actually usable. The AI-powered search means a PM or designer doesn’t need to know where to look—they just ask. The video clips mean stakeholders don’t just read a summary of a customer’s frustration; they feel it. And the API means that intelligence flows directly into the tools where product decisions get made.

For PVcase, the question was never whether to invest in customer intelligence. It was whether they could make 700 hours of conversations genuinely accessible—without the manual extraction work that made it all so hard to reach. Dovetail answered that.