Building Teams That Outperform.
The operating case for the talent the world overlooks. Not a moral argument — an operational finding, backed by a decade of sovereign-scale evidence across eighteen countries.
The world's most reliable talent pool is the one the world is systematically overlooking.
The world has a talent allocation problem — and it does not know it. Organizations select on the wrong signals. Confidence is mistaken for competence. Volume is mistaken for capability. Self-promotion is mistaken for results.
The most reliable operational performers — the people who communicate clearly, manage risk carefully, follow protocols rigorously, stay with the organization long enough to build institutional knowledge, and make the people around them better — are being passed over. The cost is measured in projects that fail, teams that fragment, and competitive advantage that evaporates with every turnover cycle.
The five hiring traits.
Optimize for these five traits — and the talent pool that emerges is consistently majority-women. Not by design. By selection.
Rigor
The ability to follow protocols and maintain standards under pressure. Non-negotiable in sovereign-scale operations.
Communication
The willingness to surface problems early and clearly, before they escalate into crises.
Risk Discipline
The capacity to manage risk carefully rather than recklessly, to follow the systems that distinguish excellence from luck.
Retention
The likelihood of staying with the organization long enough to build institutional knowledge.
Collaboration
The ability to make the people around them better, not just to perform individually.
What the model actually selects for.
Five operational signals — and the assessment domains that verify them. The selection criteria that produce the 70% Operating Model, drawn from a decade of sovereign-scale hiring.
Trait-based selection at sovereign scale. The architectural center of every hiring decision.
Work simulations, protocol exercises, and structured interviews that reveal whether the candidate follows systems under pressure.
Behavioral assessment of surfacing problems early, asking precise questions, and disagreeing without dominating.
Scenario-based evaluation of how candidates manage uncertainty — methodical versus reckless, calibrated versus cutting corners.
Tenure analysis, reference checks on prior team continuity, and pattern recognition for institutional knowledge accumulation.
Group exercises and team simulations that surface how candidates make the people around them better, not just how they perform individually.
Behavioral interviewing focused on whether candidates define success by outcomes delivered — not by effort expended or hours logged.
The argument from operations, not morality.
Measurable, Verifiable Results
A diversity target can be met by hiring to a number. The 70% Operating Model cannot be gamed — the metric is not composition, but performance. Teams that do not communicate, manage risk, follow protocols, and retain institutional knowledge are not successes regardless of composition.
Resilient to Political Shifts
Morality-based programs rise and fall with political winds. Operational findings do not — they are grounded in data, not ideology. An organization that adopts the 70% Operating Model does so because it produces better results, not because a policy mandates it.
Self-Reinforcing Evidence
When teams outperform, the evidence accumulates. When outcomes improve, the case strengthens. The 70% Operating Model does not require advocacy — it requires documentation. The results speak for themselves.
Why majority-female teams outperform.
Five observed, documented, and verified advantages — across a decade of sovereign-scale operations.
Communication
Problems surface earlier because team members are willing to say the uncomfortable thing in the room before it becomes a catastrophe in the boardroom. Information flows freely, problems are surfaced without fear, and the early warning system is built into the team's DNA.
Risk Discipline
Protocols and systems that distinguish operational excellence from operational luck are followed meticulously. Risk is managed, not courted. The 99.9999% uptime standard — maximum 31.5 seconds of downtime per year — is the product of this discipline.
Collaboration Over Competition
Internal energy goes outward, toward the mission, instead of inward, toward each other. The teams compete against the problem, not against each other — freeing up to forty percent of productive capacity typically lost to internal politics.
Retention
Institutional knowledge is preserved because the environment is one where people can stay and thrive. Every departure is a loss; high retention is not HR, it is operational. The 70% Operating Model produces teams that stay.
Ego Management
Ego interferes less with execution. The operational systems function as designed, without distortions. In teams where ego is managed, execution is cleaner, faster, and more reliable — essential in compartmentalized sovereign operations.
Why seventy percent.
Seventy percent is not a round number chosen for marketing. It is the observed average across multiple teams, multiple countries, and multiple years.
In some teams, the figure reaches eighty percent. In others, it settles around sixty-five. The consistency — that the number hovers around seventy percent across vastly different contexts — is what makes it an operational finding rather than an anomaly.
The name reflects the evidence — not the aspiration.
The Duration
This pattern has been consistent across a decade of operations — not a single quarter, not a single team, but a sustained operational finding. The data set is mature, verified, and reproducible.
The Scale
The evidence encompasses operations across eighteen countries on three continents. It spans engagements with governments, royal families, political leaders, Fortune 500 corporations, and defense agencies.
The Outcomes
An 83.3% campaign success rate. 900 million voters influenced. 100% client satisfaction. 99.9999% uptime. Zero security incidents across fifteen-plus years. The 70% Operating Model is not a small-sample finding.
The most reliable competitive advantage available.
The world is sitting on the most reliable competitive advantage available — and it is ignoring it. The talent that produces the most reliable operational outcomes is the talent that the current system overlooks: women who communicate clearly, manage risk carefully, follow protocols rigorously, stay with organizations long enough to build institutional knowledge, and make the people around them better.
This is a talent arbitrage. The market is mispricing this talent. Organizations that recognize the mispricing — and that redesign their selection processes to capture this talent — gain a structural advantage that compounds over time.
Capture the Mispriced Pool
Talent that communicates, collaborates, manages risk, and stays is available at market rates because the system does not select for these traits. Organizations that recognize this gain access to talent that outperforms without paying the premium that conventional labels command.
Build a Data Moat
The compounding effect is the long-term advantage: organizations that adopt the model early build a data advantage that late adopters cannot replicate. The first hundred teams produce data that sharpens the selection process. By the thousandth team, the data set is a competitive moat.
Close the Gap First
The arbitrage is not permanent. As more organizations recognize the mispricing, the gap will close. The organizations that move first capture the advantage while it is still available. The 70% Project is the early warning system for this shift.
Outperform on Every Metric
Organizations that close this gap do not merely hire better. They operate better. They outperform competitors who are still selecting on the wrong signals. They retain institutional knowledge while competitors hemorrhage it. They build cultures of communication and collaboration while competitors build cultures of competition and ego.
Five phases to adopt the 70% Operating Model.
The path from current practice to the 70% Operating Model — assessment, redesign, pilot, scale, embed. The clinical method applied to team building.
Assessment
Evaluate current hiring practices. Identify the signals being optimized for. Measure current team performance. The baseline against which the model will be measured.
Redesign
Redesign the selection process to optimize for the five traits. Develop structured interview protocols, design work simulations, establish outcome measurement criteria.
Pilot
Implement in one team or department. Measure outcomes against baseline. Generate the internal evidence that supports scaling — proof in this organization, with this culture.
Scale
Expand the operating model across the organization. Measure, iterate, improve. The compounding effect begins — the data set grows, selection sharpens, outcomes improve.
Embed
Make the 70% Operating Model the default hiring practice. Measure outcomes continuously. The model becomes institutional — part of the operating DNA, not a program.
Get involved.
The 70% Project is a decade of evidence, a replicable method, and a transformative talent strategy. Connect to learn more, contribute, or bring the 70% Operating Model to your organization.