“Basedash turned database questions into self-serve answers for our GTM and product teams.”

Navattic enables go-to-market teams to build interactive and agentic product demos. Founded in 2020, it powers demos for more than 1,000 companies, from fast-growing startups to world leading enterprises.

A demo platform generates a constant stream of actionable data: every demo built, every buyer who clicks through, every place a prospect falls off. For Navattic’s GTM and product teams, those signals help inform internal decision making about what to invest in. Co-founder and CTO Chris Hoyle wanted everyone who needed those answers to get them directly, without routing each question through engineering.

“Interesting questions about feature usage and customer adoption used to mean a hand crafted one-off SQL request.”

Before Basedash

Navattic demos have always generated rich data. The problem was access: every question sat behind a crafted SQL request, and sometimes the person asking couldn’t write one.

Questions queued up. People waited. Eventually, they stopped asking.

Why Basedash

Navattic connected Basedash to their database and gave the right stakeholders a conversational interface over it. People could ask a question as a prompt and get an accurate answer back in seconds.

What made it stick was who could use it. Basedash wasn’t just a faster tool for engineering: it opened the same data up to PMs, marketers, and GTM operators who didn’t need to think about writing SQL.

“Our engineers spend less time writing one-off SQL queries and more time building.”

Validating product decisions with real usage data

The biggest shift was in how decisions got made. Instead of debating what users probably do, the Navattic team checks. Before shipping or changing a feature, someone pulls the real usage data, and the conversation moves from opinion to evidence.

Because the data is self-serve, that habit spread across the team. Product, growth, and go-to-market all reach for the same source of truth, instead of everyone working off different dashboards.

“It’s become the default way we validate product decisions with real usage data.”

Impact

“We didn’t just speed up reporting — we enabled more people to ask questions.”