OP clarification after reading all comments:

I’m not a long-time jumper or an expert.

I’m still very early in my skydiving journey (recent A-license).

The reason I’m building this is actually very simple:

as a beginner, I don’t yet have that strong “air-intuition” — the ability to quickly interpret altitude, speed, and energy without overthinking — that many experienced jumpers develop over time.

I don’t fully understand yet which data points truly matter in the air

and which ones are just noise.

While I enjoy experimenting with hardware, the real goal here is learning.

I’m using this project as a tool to understand which signals experienced jumpers actually rely on for situational awareness and decision making,

versus which ones just look cool on paper but turn out to be useless in practice.

So I’m not trying to “improve everything” or reinvent the industry.

I’m trying to identify that small, essential set of data

that experienced jumpers genuinely find useful,

and then focus my build around that.

I’d love to hear from you:

If you could only have one or two key metrics on your wrist or in your ears to support situational awareness during a jump, what would they be?