Case Study: Speak achieves self-serve analytics and faster data answers with Indent

Speak cuts data answer time to under 2 minutes with Indent

Speak, a fast-growing AI-powered language learning platform, faced a significant data bottleneck. As a 200-person company, its single Data Lead was overwhelmed by weeks-long queues for ad hoc data requests from over 70 non-technical business users, which hindered critical strategic work. They turned to the vendor Indent to implement its natural language data analytics tool.

Indent provided a solution that integrated with Speak's existing data stack, using its dbt models and BI definitions as context to act as an autonomous analytics copilot. The tool allowed users to get answers to data questions directly in Slack, with a median response time under two minutes. This resulted in over 38,700 SQL queries generated and 4,400+ visualizations created, transforming the company's culture into one of self-serve, data-driven decision-making across all teams without adding headcount.

Speak