How can I analyze my previous Strava power meter data to dial in my pacing strategy for an upcoming hilly gran fondo?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I analyze my previous Strava power meter data to dial in my pacing strategy for an upcoming hilly gran fondo?
1 real search · 1 real-search pass
Strava export activity data power stream FIT CSV analysis power duration curve normalized power variability index documentationGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Strava export activity data power stream FIT CSV analysis power duration curve normalized power variability index documentation Google ↗
- How Do I Use My Best Efforts Power Curve on Strava? · support.strava.com
- How Does the Power Curve Work for Cycling on Strava? · support.strava.com
- How Do I Export My Strava Data? · support.strava.com