Real frameworks from real engagements. Scaling, organizational risk, AI, and decision-making - written from inside the work, not the ivory tower.
Financial diligence audits the past, commercial diligence tests the market, legal diligence reads the contracts. None is built to answer whether the company can execute the plan it just pitched - and with multiple expansion and cheap leverage constrained, revenue growth drove 71% of the value created in 2024 exits. When the return depends on growth, execution capability is the return. Why the gap is invisible in a data room, and why a lender is more exposed to it than an equity investor.
People and companies rarely avoid work. They pick the work that cannot reject them - another article, a bug in a feature nobody opens, the next roadmap item instead of the refactor. Only 6.4 of every 100 launched features drive 80% of usage, and elite goalkeepers dive 93.7% of the time against the odds for the same reason. Includes my own three months of excellent work that sold nothing, what AI did to the signal, the strongest objection to the whole idea - that below-line work is how capability gets built - taken seriously rather than waved off, and the identity-first response: plan for who you are now, not who the plan assumes you are.
A KPI is defined by an outcome and a role is defined by a title, so cascading a number down a title-based chart lands it on nobody. Three artifacts fix it: a Contribution Charter for what a team owes the company, a Coverage Map showing which capabilities are held by whom, and a Contribution Ledger that measures a person by what they moved, hold, decide and multiply. Includes where a pure need-based structure fails, and the Israeli equal-pay constraint that keeps the title alive.
Companies bundle five jobs into one role because a role is the only unit they know how to purchase, then select for it with the weakest method in the table. A century of personnel-selection research puts the unstructured interview at .38 and a work sample paired with general mental ability at .63. What the bundle costs candidates, what it costs companies in headcount they never needed, and what AI changed (volume) and did not change (accuracy). Companion to The GEAR Model.
Written honestly, the founder role demands ten traits at once: original thinking, focus, self-generated motivation, leadership, stress tolerance, the willingness to reverse direction publicly, risk appetite, trusting your own read, permanent openness to criticism, and doing it all with nobody above you. Two of them contradict each other, and almost nobody holds all ten. Inside a company the weak ones get absorbed by other people; alone at the top nothing absorbs them. Which traits actually fail, how to find your two, where an agent can hold a specific gap, and why staying employed is the right answer for a lot of people.
Work arrives on a Tuesday; headcount arrives a budget cycle later. What the on-demand model actually is, how it differs commercially from a recruiter, a freelancer, and an agency, the full cost stack of a permanent hire with the arithmetic showing, and the 8 KPIs to hold it accountable - including the one that should eventually tell you to stop and hire someone permanent.
Growth doesn't break companies - the predictable transitions do. A field guide combining the Greiner Curve (the six growth walls) with organizational imprinting: each crisis is also a window when culture is soft enough to re-shape, so you can imprint the habits that prevent the next wall - cheaply and self-enforcing. With the delegation use case and its monetary value. Grounded in Greiner, Stinchcombe, and Marquis & Tilcsik.
Good decisions are invisible - nothing breaks, so nobody counts them. A measurement model for the ROI of planning well, across three ledgers (Build, People, Alignment), with a scorecard and money formulas you can run on your own numbers. Grounded in Bain, McKinsey, DORA, Gallup, SHRM, Brandon Hall, Pendo, and NIST.
Flatten the org and the people system becomes homeless unless someone owns it. How the HR function runs as an enabling team across the full lifecycle - hiring, onboarding, leveling, performance, recognition, and letting go - plus the honest failure modes of going flat. The people layer underneath the GEAR model.
Most org charts optimize for control. The strongest ones optimize for what the business needs: to sell more, spend less, move fast, and stay adaptive (Growth, Efficiency, Agility, Resilience). A needs-first operating model with an org chart, a decision-and-delivery flow, and a six-step rollout you can own. Grounded in Bain, McKinsey, Team Topologies, DORA, and Galbraith.
Some roles are hard to hire for not because talent is scarce, but because they demand two opposite minds - assessment and locomotion - in one person. Product Manager is the textbook case. The research (regulatory mode, the Rubicon model, effectuation, Rocket Fuel), what organizations actually pay for, which roles fit each mode, and three ways to redesign the roles that demand both: split, pair, or scope to the phase.
AI did not make senior operators obsolete - it made them leveraged enough that buying a full-time seat is now the expensive option. Why the fractional model is moving from stopgap to default, the real cost comparison against hiring, an honest account of when fractional is the wrong choice, and four tests for evaluating an operator. Written by someone who runs her own consulting practice as a one-person, AI-powered company.
Speed is not the default virtue of the AI era - judgment is. Three verified case studies (CrowdStrike, Air Canada, Knight Capital) show what happens when velocity outpaces readiness. Includes the Velocity Risk Matrix: a two-axis framework for classifying every process by reversibility and blast radius, and five categories that must stay permanently slow.
The PM is absorbing four roles - Research Director, Project Manager, Designer, and with the right developer infrastructure, feature development itself. Simultaneously becoming the knowledge architect every AI system depends on. Grounded in DORA metrics, SPACE framework, Teresa Torres, Marty Cagan, and Karpathy's vibe coding. Includes a provocative 2027 PM job description and four counterarguments worth fighting about.
A practical method for adding new KPIs with the rigor product teams use for features. Built on the Three Pillars (Outcome / Execution / Foundation). Includes a step-by-step AI-native implementation using Google Workspace + Claude - one operator, 90 minutes, end-to-end (define, collect, calculate, track, feedback, update, communicate) - plus a dedicated security, compliance, and cost-risk chapter with a 12-item pre-launch checklist. Grounded in Parmenter, Grove, Doerr, Cagan, Kaplan & Norton, Sean Ellis. Includes a worked example and a poker case study.
95% of GenAI pilots fail. 67% of AI adopters work more hours, not fewer. 60% of agentic projects fail this year for one reason: bad data. The structural problems AI can't fix, the new ones it's creating, the stacked migration nobody's talking about, and 7 predictions for 2027-2030.
Goodhart's Law, Wells Fargo's $3B scandal, the UK PPI crisis, why CSAT is expensive theater, and how isolated departmental KPIs create internal civil wars between Risk and Product. With research and a 5-principle framework for healthier KPI architecture.
Every problem you don't catch now costs 10x more at the next scale. The math behind prevention, the three categories of findings (leaks, bottlenecks, risks), and when to assess.
5-stage framework to move organizations from AI experiments in engineering to AI as operating model. Built for banking, fintech, insurance, healthcare. Operator-led, vendor-neutral.
What pure-analyst DD misses - and how operator-led DD catches deal-breaking risks before you commit capital. 5-phase framework for VCs.
5-dimension framework, step-by-step process, and a free interactive checklist. Most companies aren't AI-ready - here's how to know where you stand.
The four-phase method I use to diagnose, design, and deliver organizational change - drawn from 10+ years leading regulated tech and hands-on AI work.
The honest version: why I left, what I underestimated, and what I learned about consulting in the first 6 months.
Notes from a Marshall Rosenberg workshop. The four-step framework that transforms how leaders give feedback and navigate conflict.
Why working harder stops working - and what to do instead. A practical framework for getting the most from yourself.
