Carolyn Mooney

Co-Founder & CEO, Nextmv · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveengineerLinkedIn ↗nextmv.io ↗

Carolyn Mooney co-founded and leads Nextmv, a DecisionOps platform for automating and operationalizing decision models. She previously worked in systems engineering and decision systems at Grubhub, Zoomer, and Lockheed Martin.

7statements → 1claims → 1claims resolved → 3.71/5average certainty → 2.43/5average debate potential → ≈4.5/5argument clarity, estimated →

1 supported 0 partly supported 0 contradicted how the 1 claim stands · each chip opens the sources

1 assertion · 2 opinions · 2 insights · 2 disclosures · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 1 is resolved. 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 Carolyn argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported

Mooney: Forbes published that 87% of data science models fail to reach production

“There's some absurd statistic that, like, Forbes published, which is, like, 87% of data science models don't make it into production, right?”

Carolyn Mooney Apr 12, 2022 ▶ 17:47 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

How they sound: speaking style how? →

260 words/min while actually speaking · 45.4 um and uh per 1k words

No argument clarity score for Carolyn Mooney: only 6 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews. Their coarse estimate from 6 raw tape exchanges is ≈4.5/5, shown at half point precision because the sample is small.

Measured by listening to the audio itself: 3,657 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 →

What they said7 Episodes1

Everything Carolyn Mooney said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion

Mooney: A large part of tech wage gap stems from negotiation reluctance

“A large part of the reason the wage gap exists is that like women and minorities in technology are not not necessarily willing or confident to negotiate.”

Carolyn Mooney Apr 12, 2022 ▶ 20:01 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Disclosure

Mooney: Nextmv pays identical salaries for same role regardless of location

“Everyone that is doing that job That we're paying for the work product, right? And the work product is the same regardless of if you know, live in Kansas City and you come in as a decision engineer one, or you live in Germany and you come in as a decision engi…”

Carolyn Mooney Apr 12, 2022 ▶ 20:38 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Opinion

Mooney: Decision intelligence is the next evolution of the data stack

“And so if you think about that, it's kind of the next evolution of a data stack.”

Carolyn Mooney Apr 12, 2022 ▶ 2:49 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Insight

Mooney: Enterprise operational decisions should be represented as code

“This should be like how you represent decisions for your operation as code, right? And that can be any operations decision, like how to allocate marketing spend into different channels.”

Carolyn Mooney Apr 12, 2022 ▶ 8:13 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Disclosure

Mooney: Nextmv provides decision-making primitives akin to Twilio

“We think about making, you know, every engineer decision engineer. So in the same way that Twilio gave, you know, a bunch of engineers, the primitives around how to create messaging, right? We're giving people the primitives about how to make decisions.”

Carolyn Mooney Apr 12, 2022 ▶ 8:54 Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Insight

Mooney: State-based decision planning replaces matrix math with business logic

“So you're building, building these plans kind of iteratively, and that's what's allowing you to kind of think about that space in a more business, like, practical manner versus having to think about it in, like, matrix math.”

Carolyn Mooney Apr 12, 2022 ▶ 11:38 Decision Automation's Bright Future with Nextmv's Carolyn Mooney