Ashley Kramer
Chief Revenue Officer, ElevenLabs · 1 appearance on the record.
computed by AI from the episodes · how this works → · full disclaimer →
executiveoperatorinvestor@ashleyekramer ↗LinkedIn ↗
She oversees global enterprise revenue and commercial partnerships at ElevenLabs, bringing over two decades of go-to-market experience across AI and enterprise software. She is widely recognized for senior leadership positions spanning marketing, product, and sales at OpenAI, GitLab, Sisense, Alteryx, and Tableau.
3 supported 1 partly supported 0 contradicted 5 not checkable as stated how the 9 claims stand · each chip opens the sources
1 prediction · 8 assertions · 2 insights · 3 disclosures · every statement was checked. The prediction and assertions are the 9 claims: statements the public record can support or contradict. 4 are resolved, and 5 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.
The record, in short
What the tape says about how Ashley argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.
Expressed certainty vs assessment result
weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet
Argument clarity: do they answer the question? how? →
answered every one of 8 assessed questions directly
This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →
How they sound: speaking style how? →
247 words/min while actually speaking · 24.4 um and uh per 1k words
Measured by listening to the audio itself: 4,840 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →
Everything Ashley Kramer said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →
The other half of the tape: Ashley Kramer's own voice is left out of every number here. Other people bring the name up 2 times in 1 episode on the MAD Podcast. every mention, with the transcript →
Every mention by year
Appearances (1)
| Episode | Date | Speaking time |
|---|---|---|
| Fireside Chat: Ashley Kramer (CMO & CPO, Sisense) with Matt Turck (Partner, FirstMark) | Nov 1, 2020 | 23m |