Best Practice

The 60-Second Board Story: What AI Performance Metrics Actually Belong in a Board Deck

The 60-Second Board Story: What AI Performance Metrics Actually Belong in a Board Deck

Jung Park, Co-Founder and CEO

Jung Park, Co-Founder and CEO

Board decks should focus on clear business outcomes—not operational metrics.

I've sat in a lot of boardrooms.
At One Medical, at California Skin Institute, and at Latitude Food Allergy Care. PE-backed, venture-backed, private. Different sponsors, different mandates. One constant:
The board doesn't have time for your dashboard.
This sounds obvious. And yet it's one of the most common mistakes I see healthcare operators make when reporting on a technology investment. They pull together a deck full of engagement rates, automation percentages, and call handling stats. The numbers are good. They walk out without budget approval and without a clear sense of why it didn't land.
The reason is almost never the technology. It's the translation.


Most of Your Dashboard Belongs in the Appendix

The metrics that matter to your operations team and the metrics that matter to your board are not the same metrics. Call handling rate. Automation percentage. Patient satisfaction scores. These are essential for running the program well. They belong in the appendix, available for whoever wants to dig in — but not leading the conversation.

When you build the main body of your deck around operational metrics, you're asking a board to evaluate something they have no reference point for. They don't know if 67% automation is good or bad in your specialty. Your job as an operator is to do that translation before you walk in the room.


Three Numbers That Actually Move Boards

Incremental revenue. How many appointments were recovered that would otherwise have been lost? Multiply that by your average revenue per visit, and you have a figure every CFO in the room can engage with immediately. That number belongs on slide three.

Slot utilization. A practice running at 78% versus 85% utilization has dramatically different economics with the same provider count. When you can show utilization moved meaningfully in a defined period, you're speaking directly to the return on the investment they approved.

Visits per day. Simple, concrete, and a number every operator and investor in the room can sanity-check. If the platform drove a measurable increase in visits per day per provider, show it plainly.

These three metrics connect directly to the P&L. They don't require the board to understand how the technology works. Only what it produced.


A Framework Before You Build the Deck

When I evaluate any technology investment now, I start with a simple test before a single slide gets built: can I tell this story in sixty seconds with three numbers?

If the answer is no, one of two things is usually true. Either the investment hasn't performed well enough to justify a simple narrative. Or the performance is there, but the metrics haven't been translated into board language yet — which is a fixable problem.

Boards aren't skeptical of AI. They're skeptical of complexity that doesn't resolve into business outcomes. Give them the outcomes. Put the complexity in the appendix.

That's not a presentation problem. It's a clarity problem.

Crafted in San Francisco 🌉

© 2026 Parakeet Health, Inc.

Crafted in San Francisco 🌉

© 2026 Parakeet Health, Inc.

Crafted in San Francisco 🌉

© 2026 Parakeet Health, Inc.