Research & influences

Standing on the shoulders of people who shipped.

Optimistically Pragmatic extends two proven lineages into the AI era — product and design thinking, and the coaching tradition of the basketball court — and anchors every stage of the learning journey in peer-reviewed research.

The lineage

Five influences, one convergent message.

The people who defined how good products get built have all reached the same post-2023 conclusion: AI is the biggest shift of their careers — and the fundamentals matter more, not less.

Product · Shared understanding

Jeff Patton

Inventor of user story mapping — arranging work along the user's journey so a team sees the whole story, not a flat backlog. His output–outcome–impact distinction is the discipline this site leans on: output is what you ship, outcome is what people actually do differently, impact is what it earns you.

jpattonassociates.com · User Story Mapping (O'Reilly, 2014)

Story mappingOutcomes

Design · Goals & ethics

Alan Cooper

Inventor of goal-directed design and modern personas: design for a specific, researched human's goals — never the elastic "the user." His later work supplies stage two's conscience: the "Oppenheimer Moment" (good people's intentions get subverted, so design for it up front) and ancestry thinking — a good ancestor doesn't borrow from the future.

The Oppenheimer Moment · Ancestry Thinking

PersonasGood ancestor

Usability · Evidence

Jakob Nielsen

Co-founder of Nielsen Norman Group; author of the 10 usability heuristics — still the sharpest evaluation lens for AI products, which fail exactly where the heuristics predict: system status, user control, error recovery. He named the shift underway "intent-based outcome specification": for the first time, users say what they want instead of how to do it.

AI: First New UI Paradigm in 60 Years · 10 Usability Heuristics

UsabilityIntent-based UI

Practice · Public benefit

Chris Tarabochia

Author of this site. Chief AI Officer for the State of Montana — the state's first — leading statewide AI strategy across agencies, tribal governments, academia, and industry. Two decades of AI/ML product leadership before that, including AI-driven trust & safety at Microsoft Xbox, machine-learning platforms at FICO, and digital customer service at Oracle and RightNow Technologies. The mandate is the philosophy embodied: advance AI adoption and govern it responsibly.

LinkedIn

Public sector AITrust & safetyGovernance

The intellectual landscape

The middle ground has a literature.

Between doom and hype, a rigorous position has crystallized. These are its anchor texts.

The evidence

The jagged frontier

758 BCG consultants: AI users completed 12% more tasks, 25% faster, at higher quality — inside AI's capability frontier. Outside it, they were 19% more likely to be wrong. You can't see the frontier until you've walked it.

Dell'Acqua, Mollick, Lakhani et al., HBS Working Paper 24-013 (2023) · hbs.edu

The pragmatism

AI as normal technology

Princeton's Narayanan & Kapoor (authors of AI Snake Oil): AI is transformative but normal — like electricity or the internet. Diffusion is slower than invention; humans and institutions stay in control.

Knight First Amendment Institute (2025) · knightcolumbia.org

The optimism

Co-intelligence & superagency

Mollick: treat AI as a co-worker, co-teacher, and coach — always invite it to the table, stay the human in the loop. Hoffman: the right posture is the "bloomer" — driving forward while tapping the brakes.

Mollick, Co-Intelligence (2024) · Hoffman & Beato, Superagency (2025) · oneusefulthing.org

The measured gains

AI as skill-leveler

5,179 support agents: +14% productivity overall, +34% for novices (QJE 2025). 453 professionals: writing time −40%, quality +18%, with the biggest gains for weaker writers (Science 2023).

Brynjolfsson et al. · Noy & Zhang

The horizon

Protopia & loving grace

Kevin Kelly: the future worth wanting is "protopian" — incremental betterment, imagined deliberately because you can't build what you can't envision. Amodei: safely built AI could compress decades of progress into years.

Kelly, The Case for Optimism · Machines of Loving Grace

The guardrail

The accountability voice

Kara Swisher's three-decade demand: AI is promising, but "it is our thoughts, our art and our posts powering this technology" — and without accountability, an insular group decides who benefits. Pragmatism keeps this voice at the table.

Swisher, Burn Book (Simon & Schuster, 2024)

The coaching canon

From the hardwood to the AI era.

The coaching philosophy stands on a second lineage — the great teachers of the court, and the researchers who studied them.

The evidence · What Wooden actually did

The Wooden studies

The primary record behind the coaching page: Gallimore & Tharp observed Wooden's final season (1974–75) and coded every utterance across fifteen practices. Exact figures: praise 6.9%, pure scolds 6.6%, and an 8% scold-fused-with-correction pattern so distinctive they named it "a Wooden." A 2024 follow-up in Quest argues his "repetition" was deliberate practice avant la lettre.

Gallimore & Tharp, The Sport Psychologist (2004) · Givvin & Gallimore, Quest (2024)

The lineage · The court

Jackson, Popovich, Smith

Phil Jackson learned that "the more I tried to exert power directly, the less powerful I became" — and wouldn't call the timeout. Popovich's Spurs hung Jacob Riis's stonecutter in the locker room and built Hall of Famers from picks 57 and 28. Dean Smith made every scorer point to the passer.

Jackson & Delehanty, Eleven Rings (2013) · Coyle, The Culture Code (2018) · Smith, The Carolina Way (2004)

The bridge · Coaching in tech

The trillion dollar coach

Bill Campbell — a losing Columbia football coach who became the coach of Steve Jobs, Larry Page, and Eric Schmidt. People first, trust before everything, and only coach the coachable: the honest, humble, persevering, and endlessly willing to learn.

Schmidt, Rosenberg & Eagle, Trillion Dollar Coach (2019) · Ibarra & Scoular, HBR (2019) · Jones, SVPG (2019)

The pedagogy · Athlete-centered

Player-centered coaching

Sport pedagogy's formal case for questions over telling: Kidman's athlete-centred coaching shares ownership of learning, and Côté & Gilbert define coaching effectiveness by what it grows in the athlete — competence, confidence, connection, character.

Kidman, Athlete-Centred Coaching (2005) · Côté & Gilbert, IJSSC (2009)

The proof · AI is a people problem

The 70% that isn't technology

The sources for the coaching page's opening argument — plus one more from McKinsey's survey worth keeping: only 1% of leaders describe their company's AI rollout as mature. The readiness gap is at the top, which is exactly where coaching starts.

McKinsey (2025) · BCG · MIT SMR (2025)

The learning science

Six stages, each on solid ground.

The arc is old — Campbell's hero's journey gives it the narrative shape, the Dreyfus model gives it the competence ladder — and each stage sits on its own well-cited literature.

  • 01 · Spark of Curiosity. Curiosity fires when attention lands on a gap between what you know and what you want to know. Loewenstein, "The Psychology of Curiosity," Psychological Bulletin 116(1), 1994 · Hidi & Renninger, "The Four-Phase Model of Interest Development," Educational Psychologist 41(2), 2006.
  • 02 · Ethical Crossroads. The authoritative frameworks put ethics first, before technique. UNESCO AI Competency Framework for Students (2024) · Long & Magerko, "What is AI Literacy?" CHI 2020 · MIT RAISE DAILy curriculum.
  • 03 · Challenge Labyrinth. Difficulty that slows performance today strengthens learning that lasts. Bjork & Bjork, "Making Things Hard on Yourself, But in a Good Way" (2011) · Kapur, "Productive Failure," Cognition and Instruction 26(3), 2008.
  • 04 · The Rabbit Hole. Total absorption when challenge meets skill — and the shift from situational to personal interest. Csikszentmihalyi, Flow: The Psychology of Optimal Experience (1990) · Hidi & Renninger, phases 3–4 of interest development (2006).
  • 05 · Breakthrough. The aha moment is a documented neuro-cognitive event — impasse, restructuring, sudden certainty — and it requires the impasse that precedes it. Kounios & Beeman, "The Cognitive Neuroscience of Insight," Annual Review of Psychology 65, 2014 · Dell'Acqua et al., the jagged frontier (2023).
  • 06 · Mastery. Expertise is the product of sustained, structured, feedback-rich practice — a process, not a destination. Ericsson, Krampe & Tesch-Römer, Psychological Review 100(3), 1993 · Dreyfus & Dreyfus, skill-acquisition model (1980; Mind Over Machine, 1986) · Campbell, The Hero with a Thousand Faces (1949) — the return with the elixir.