Case Study: Flatiron Health cuts feedback cycle time by 75% with Airtable AI

Flatiron Health cut its feedback cycle 75% with Airtable AI

Flatiron Health, a healthtech company focused on improving cancer care, faced a challenge with fragmented information. Their product organization's data was scattered across various spreadsheets, documents, and individual knowledge, making it difficult to maintain a coherent view of initiatives, roadmaps, and customer feedback. This fragmentation led to slow, manual processes for reporting and analysis, hindering decision-making.

The company implemented a connected product operating system built in Airtable, utilizing Airtable AI. This solution centralized their data and automated key processes. Airtable AI agents were used to immediately analyze customer feedback, identify core problems, and find similar past requests. The results were significant: the customer feedback processing cycle was reduced by 75% (from four weeks to one), the number of people needed for quarterly feedback synthesis dropped from four to one, and building an account plan went from taking five hours to just thirty minutes. Airtable enabled the team to build a market intelligence platform in months that was previously estimated to take over a year.

Flatiron Health