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Apr 12, 2022 · 21m · mad

Decision Automation's Bright Future with Nextmv's Carolyn Mooney

Carolyn Mooney · 16m spoken Matt Turck · 3m spoken
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

Carolyn Mooney, CEO and co-founder of Nextmv, joins host Matt Turck at Data Driven NYC to discuss decision intelligence, modernizing operations research into developer tools, enterprise use cases, platform strategy, and transparent company culture.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Matt holds 18.8% of the talking time here. How this is scored →

Matt as informed peer 2.2 Guest teaching 2.2 Guest disagreement 0.2 Matt pushing back 0.2
05100:0010:0020:000:09–4:00 · Matt as informed peer 1/10 Carolyn Mooney's Background and Journey to Nextmv Matt discloses his investor status and asks foundational questions about Carolyn's background and the definition of decision intelligence. Carolyn provides an educational overview of how decision intelligence builds on top of BI and predictive data science.4:00–6:45 · Matt as informed peer 2/10 Operations Research vs. Modern Decision Science Matt prompts Carolyn to compare decision science with operations research and asks about legacy incumbents. Carolyn explains how OR PhDs translate business problems into matrix math using legacy solvers like CPLEX and Gurobi.6:45–11:52 · Matt as informed peer 3/10 Horizontal Enterprise Use Cases for Decision Automation Matt observes that decision automation is a broad horizontal space and asks Carolyn to expand on non-logistics use cases. Carolyn explains applications ranging from call center x-ray routing to subscription box inventory allocation and draws an analogy to Twilio.11:52–14:39 · Matt as informed peer 1/10 Nextmv Cloud Platform and Product Workbench Matt asks about Nextmv's cloud product availability and customer implementations. Carolyn outlines the console workbench, SDK waitlist, and concrete customer use cases like bus shift scheduling and ghost kitchen logistics.14:39–19:26 · Matt as informed peer 5/10 Future Roadmap and Community Engagement When asked an audience question about VC skepticism toward horizontal platforms, Carolyn playfully tells investor Matt to field it. Matt then actively participates in the discussion, explaining the venture capital perspective that companies must be a tool before becoming a horizontal platform.19:26–20:59 · Matt as informed peer 1/10 Radical Compensation Transparency at Nextmv Matt asks Carolyn about Nextmv's policy of radical compensation transparency. Carolyn articulates how equal pay for equal work product mitigates the gender wage gap across geographical locations.0:09–4:00 · Guest teaching 2/10 Carolyn Mooney's Background and Journey to Nextmv Matt discloses his investor status and asks foundational questions about Carolyn's background and the definition of decision intelligence. Carolyn provides an educational overview of how decision intelligence builds on top of BI and predictive data science.4:00–6:45 · Guest teaching 3/10 Operations Research vs. Modern Decision Science Matt prompts Carolyn to compare decision science with operations research and asks about legacy incumbents. Carolyn explains how OR PhDs translate business problems into matrix math using legacy solvers like CPLEX and Gurobi.6:45–11:52 · Guest teaching 2/10 Horizontal Enterprise Use Cases for Decision Automation Matt observes that decision automation is a broad horizontal space and asks Carolyn to expand on non-logistics use cases. Carolyn explains applications ranging from call center x-ray routing to subscription box inventory allocation and draws an analogy to Twilio.11:52–14:39 · Guest teaching 1/10 Nextmv Cloud Platform and Product Workbench Matt asks about Nextmv's cloud product availability and customer implementations. Carolyn outlines the console workbench, SDK waitlist, and concrete customer use cases like bus shift scheduling and ghost kitchen logistics.14:39–19:26 · Guest teaching 2/10 Future Roadmap and Community Engagement When asked an audience question about VC skepticism toward horizontal platforms, Carolyn playfully tells investor Matt to field it. Matt then actively participates in the discussion, explaining the venture capital perspective that companies must be a tool before becoming a horizontal platform.19:26–20:59 · Guest teaching 3/10 Radical Compensation Transparency at Nextmv Matt asks Carolyn about Nextmv's policy of radical compensation transparency. Carolyn articulates how equal pay for equal work product mitigates the gender wage gap across geographical locations.0:09–4:00 · Guest disagreement 0/10 Carolyn Mooney's Background and Journey to Nextmv Matt discloses his investor status and asks foundational questions about Carolyn's background and the definition of decision intelligence. Carolyn provides an educational overview of how decision intelligence builds on top of BI and predictive data science.4:00–6:45 · Guest disagreement 0/10 Operations Research vs. Modern Decision Science Matt prompts Carolyn to compare decision science with operations research and asks about legacy incumbents. Carolyn explains how OR PhDs translate business problems into matrix math using legacy solvers like CPLEX and Gurobi.6:45–11:52 · Guest disagreement 0/10 Horizontal Enterprise Use Cases for Decision Automation Matt observes that decision automation is a broad horizontal space and asks Carolyn to expand on non-logistics use cases. Carolyn explains applications ranging from call center x-ray routing to subscription box inventory allocation and draws an analogy to Twilio.11:52–14:39 · Guest disagreement 0/10 Nextmv Cloud Platform and Product Workbench Matt asks about Nextmv's cloud product availability and customer implementations. Carolyn outlines the console workbench, SDK waitlist, and concrete customer use cases like bus shift scheduling and ghost kitchen logistics.14:39–19:26 · Guest disagreement 1/10 Future Roadmap and Community Engagement When asked an audience question about VC skepticism toward horizontal platforms, Carolyn playfully tells investor Matt to field it. Matt then actively participates in the discussion, explaining the venture capital perspective that companies must be a tool before becoming a horizontal platform.19:26–20:59 · Guest disagreement 0/10 Radical Compensation Transparency at Nextmv Matt asks Carolyn about Nextmv's policy of radical compensation transparency. Carolyn articulates how equal pay for equal work product mitigates the gender wage gap across geographical locations.0:09–4:00 · Matt pushing back 0/10 Carolyn Mooney's Background and Journey to Nextmv Matt discloses his investor status and asks foundational questions about Carolyn's background and the definition of decision intelligence. Carolyn provides an educational overview of how decision intelligence builds on top of BI and predictive data science.4:00–6:45 · Matt pushing back 0/10 Operations Research vs. Modern Decision Science Matt prompts Carolyn to compare decision science with operations research and asks about legacy incumbents. Carolyn explains how OR PhDs translate business problems into matrix math using legacy solvers like CPLEX and Gurobi.6:45–11:52 · Matt pushing back 0/10 Horizontal Enterprise Use Cases for Decision Automation Matt observes that decision automation is a broad horizontal space and asks Carolyn to expand on non-logistics use cases. Carolyn explains applications ranging from call center x-ray routing to subscription box inventory allocation and draws an analogy to Twilio.11:52–14:39 · Matt pushing back 0/10 Nextmv Cloud Platform and Product Workbench Matt asks about Nextmv's cloud product availability and customer implementations. Carolyn outlines the console workbench, SDK waitlist, and concrete customer use cases like bus shift scheduling and ghost kitchen logistics.14:39–19:26 · Matt pushing back 1/10 Future Roadmap and Community Engagement When asked an audience question about VC skepticism toward horizontal platforms, Carolyn playfully tells investor Matt to field it. Matt then actively participates in the discussion, explaining the venture capital perspective that companies must be a tool before becoming a horizontal platform.19:26–20:59 · Matt pushing back 0/10 Radical Compensation Transparency at Nextmv Matt asks Carolyn about Nextmv's policy of radical compensation transparency. Carolyn articulates how equal pay for equal work product mitigates the gender wage gap across geographical locations.

speaking balance: gold is Matt, purple is the guest (3 minute bins)

0:00 · Matt 18% · guest 82%0:00 · Matt 18% · guest 82%3:00 · Matt 10.3% · guest 89.7%3:00 · Matt 10.3% · guest 89.7%6:00 · Matt 27% · guest 73%6:00 · Matt 27% · guest 73%9:00 · Matt 10.9% · guest 89.1%9:00 · Matt 10.9% · guest 89.1%12:00 · Matt 16.5% · guest 83.5%12:00 · Matt 16.5% · guest 83.5%15:00 · Matt 16.7% · guest 83.3%15:00 · Matt 16.7% · guest 83.3%18:00 · Matt 25.3% · guest 74.7%18:00 · Matt 25.3% · guest 74.7%21:00 · Matt 96.5% · guest 3.5%21:00 · Matt 96.5% · guest 3.5%
Sharpest disagreement ▶ 17:08 Playful Deflection on VC Skepticism

Carolyn humorously redirects an audience question about convincing VCs to Matt, telling him he should field it as an investor.

 Hardest push from Matt ▶ 18:35 Matt's VC Perspective on Beachhead Strategy

Matt steps in to refine the framing around horizontal platforms, emphasizing that Nextmv focused on a logistics beachhead before expanding.

 Biggest teaching moment ▶ 2:00 Defining the Decision Intelligence Stack

Carolyn clearly breaks down the technological evolution from event data collection to BI, predictive modeling, and decision intelligence.

 Matt holds his own ▶ 18:35 Matt Demonstrating Startup Strategy Expertise

Matt demonstrates domain venture capital expertise by explaining the necessity of proving out a single tool use case before scaling into a horizontal enterprise platform.
the scores for every segment, with the reasoning behind each
ChapterTopicMatt as informed peerGuest teachingGuest disagreementMatt pushing backWhy
Carolyn Mooney's Background and Journey to Nextmv 1200 Matt discloses his investor status and asks foundational questions about Carolyn's background and the definition of decision intelligence. Carolyn provides an educational overview of how decision intelligence builds on top of BI and predictive data science.
Operations Research vs. Modern Decision Science 2300 Matt prompts Carolyn to compare decision science with operations research and asks about legacy incumbents. Carolyn explains how OR PhDs translate business problems into matrix math using legacy solvers like CPLEX and Gurobi.
Horizontal Enterprise Use Cases for Decision Automation 3200 Matt observes that decision automation is a broad horizontal space and asks Carolyn to expand on non-logistics use cases. Carolyn explains applications ranging from call center x-ray routing to subscription box inventory allocation and draws an analogy to Twilio.
Nextmv Cloud Platform and Product Workbench 1100 Matt asks about Nextmv's cloud product availability and customer implementations. Carolyn outlines the console workbench, SDK waitlist, and concrete customer use cases like bus shift scheduling and ghost kitchen logistics.
Future Roadmap and Community Engagement 5211 When asked an audience question about VC skepticism toward horizontal platforms, Carolyn playfully tells investor Matt to field it. Matt then actively participates in the discussion, explaining the venture capital perspective that companies must be a tool before becoming a horizontal platform.
Radical Compensation Transparency at Nextmv 1300 Matt asks Carolyn about Nextmv's policy of radical compensation transparency. Carolyn articulates how equal pay for equal work product mitigates the gender wage gap across geographical locations.

Statements from this episode (8)

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
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
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
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
Assertion Not checkable as stated
Turck: Venture capitalists are skeptical of early horizontal platform startups
“I find that VCs are quite skeptical of companies building horizontal from day zero.”
Matt Turck Apr 12, 2022 ▶ 17:02
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
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
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
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