# How Flatiron Health uses Airtable

**75%**: “Flatiron Health cut its feedback cycle 75% with Airtable AI”

As published on [airtable.com](https://www.airtable.com/customer-stories/flatiron-health). Captured by usedby on 2026-10-03.

- Company: [Flatiron Health](https://www.usedby.ai/companies/flatiron-health.md)
- Tool: [Airtable](https://www.usedby.ai/tools/airtable.md)
- Industry: [HealthTech & Digital Health](https://www.usedby.ai/companies/industry/healthtech-digital-health.md)
- Teams: Product Operations, Product, R&D, Finance, Executive team

## What the story says

Flatiron Health's product operations team built a connected product operating system in Airtable that links initiatives, teams, product lines and objectives for roadmap tracking and quarterly R&D reporting. They also use Airtable AI field agents to analyze customer feedback, route roadmaps, and support market intelligence work.

Summary written by usedby from the source page, in English. The figures are those of Airtable and Flatiron Health, not ours.

> A quarterly process that previously took four people four weeks now takes one person one week.

- **four weeks and four people**: “Reduced customer feedback processing from four weeks and four people to one week and one person”
- **more than 40**: “Its product organization manages more than 40 team roadmaps.”

> Basically, what we've done is filled the gap of insight because of Airtable AI.
>
> Kassim Alani, Head of Product Operations, Flatiron Health

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the figure 75% is printed word for word on the page, near the name of Flatiron Health.
- Checked: the passage quoted above is copied word for word from the page, near the name of Flatiron Health.
- Checked: Flatiron Health uses Airtable. Confirmed line. Latest check across sources: 2026-10-03.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/flatiron-health-airtable · How we check: https://www.usedby.ai/methodology