The magnificent seven diagnosis
1. Outcomes & Economics
Examines whether the organization is generating the outcomes its investments are meant to produce. It looks at how success is defined, how value is measured, where spend is concentrated, and whether leaders can make disciplined trade-offs among cost, speed, risk, and return.
What we assess: Whether strategy, investment, and execution are connected through measurable outcomes and sound economic choices.
Example signals: unclear ROI, rising spend without proportional impact, competing success measures, weak linkage between priorities and business results.
2. Decision Flow
Examines how decisions move through the organization and where they lose speed or clarity. It looks at decision rights, approval paths, escalation patterns, and leadership interfaces to identify where delayed or fragmented decisions create drag on execution.
What we assess: Whether critical decisions are made at the right level, at the right speed, with enough clarity to support delivery.
Example signals: repeated escalation, approval bottlenecks, conflicting direction, stalled work due to unresolved ownership.
3. Demand Intake & Capacity Allocation
Examines how work enters the system and how finite capacity is distributed once it does. It looks at intake channels, prioritization rules, portfolio load, and allocation discipline to determine whether the organization is controlling demand or being overwhelmed by it.
What we assess: Whether incoming demand is governed, prioritized, and matched to real delivery capacity.
Example signals: overloaded teams, too many active initiatives, work started without trade-off decisions, constant reprioritization.
4. Funding & Incentives
Examines how funding mechanisms and performance incentives shape behavior across the enterprise. It looks at budget structures, planning cycles, target-setting, and reward signals to identify whether the system reinforces coordinated outcomes or drives fragmented local optimization.
What we assess: Whether financial structures and incentives support enterprise performance rather than siloed behavior.
Example signals: budget protection over business value, short-term target chasing, local optimization, underfunded cross-functional priorities.
5. Operating Model & Interfaces
Examines how the organization is structurally set up to execute across teams, functions, and leadership layers. It looks at roles, accountabilities, governance touchpoints, and cross-functional interfaces to determine whether the operating model enables coordination or creates friction at the boundaries.
What we assess: Whether the organizational design supports clear accountability, coordinated execution, and effective cross-functional interaction.
Example signals: duplicated ownership, unclear roles, frequent handoff friction, governance overhead without better outcomes.
6. Flow of Work
Examines how work progresses from commitment to delivery in practice. It looks at queues, handoffs, dependencies, interruptions, and rework to identify where throughput slows, predictability declines, and execution effort expands without proportional results.
What we assess: Whether work moves through the system with enough speed, focus, and predictability to produce results reliably.
Example signals: excessive queue time, dependency drag, recurring rework, slow delivery despite high activity.
7. Technical Constraints
Examines the technical realities that shape delivery capacity and performance. It looks at architecture, integration points, platform dependencies, reliability burdens, and technical debt to identify where the technology environment is limiting speed, increasing cost, or constraining change.
What we assess: Whether the technical environment enables execution or quietly acts as a structural limit on progress.
Example signals: fragile architecture, unstable environments, high reliability tax, heavy dependency on manual workarounds.