Answers in seconds, not sprints

The analyst bottleneck

When leadership has a question about customers — "Why are enterprise accounts churning?" or "What do customers in healthcare think about our new feature?" — the answer requires an analyst, a data pull, and a week of turnaround time. By the time the answer arrives, the question has evolved or the decision has been made without data.

This bottleneck isn't the analyst's fault — it's a tooling problem. Customer data is scattered, unstructured, and hard to query without technical expertise.

"I used to wait a week for answers. Now I ask Propane and get a response in under a minute." — VP Marketing, Enterprise

How Propane makes customer data queryable

Propane indexes every customer interaction and makes it searchable in natural language. Ask a question, get an answer. No SQL. No analyst queue. No week-long wait.

Natural language queries

Type questions the way you'd ask a colleague: "What are the top complaints from enterprise customers this quarter?" Propane searches across every conversation, ticket, and survey to surface the answer with supporting evidence.

Evidence-backed answers

Every answer comes with citations — the specific conversations, tickets, and data points that support the conclusion. You can drill into the evidence to verify or explore further.

Democratizing customer intelligence

When everyone can ask questions about customers, the quality of decisions improves across the organization. Product managers validate assumptions in minutes. Marketers test messaging hypotheses before launch. Leaders check their intuition against data.

"Our PMs stopped guessing. They run quick queries before every sprint planning now." — Director of Product

Self-service exploration

Propane isn't just for answering pre-defined questions. Teams can explore customer data freely — following threads, testing hypotheses, and discovering insights that no one thought to ask about.

Who uses this

Any leader or team member who needs quick answers about customers. Product managers validating assumptions. Marketing teams testing messaging. Executives preparing for customer conversations.