// How the Lab operates

Method

A standard case lifecycle, a three-level measurement framework, lightweight governance, and clear roles — clarity without slowing execution.

Every opportunity runs through the same operating model. It is deliberately lightweight: enough structure to compare, prioritize, and measure cases consistently — never so much that it slows the work down.

Intake model

The Lab maintains a structured intake process so opportunities can be compared, prioritized, and tracked consistently. Intake is the front door — it secures an owner, a problem, and a measurable intent, then hands a well-formed case into discovery. See Engage the Lab for the full intake template.

Case lifecycle

Each case moves through eight stages, each with an explicit exit criterion. A case never advances until its current stage is genuinely complete.

StageMeaningExit criteria
IntakeOpportunity identifiedStakeholder, problem, and owner identified
DiscoveryCurrent state understoodWorkflow, pain point, and success metric documented
PrioritizationValue and feasibility assessedCase accepted, deferred, or rejected
DesignSolution approach definedProposed solution, owners, risks, and plan documented
Build / ImplementWork is actively deliveredPilot or production-ready solution completed
AdoptionStakeholders begin using solutionUsers trained, rollout complete, feedback loop active
MeasurementImpact is assessedBefore / after results documented
Scale / CloseCase is expanded or completedLearnings captured and next step defined
// WHERE IS YOUR CASE STUCK?

Where is your case stuck?

Select the stage that sounds most like yours, then send the stuck point.

Got it.

The stage context came through. We'll be in touch.

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Measurement framework

Measurable or it does not count. Impact is measured at three levels so a single win and a whole portfolio can both be read clearly.

Case-level impact

Each case defines its own success metrics before implementation and reports results after. Examples:

  • Hours saved per week
  • Reduction in manual handoffs
  • Faster response time
  • Increased conversion
  • Improved lead qualification
  • Reduced cost per transaction
  • Reduced reporting time
  • Improved data completeness
  • Fewer operational errors
  • Faster stakeholder turnaround

Program-level impact

Related cases group into programs — sales acceleration, customer experience operations, revenue operations, workflow automation, data quality, cost optimization, and more. Programs are where small, well-measured wins compound. See the programs in the portfolio.

P&L-level impact

Where possible, programs map to the business’s P&L structure — so leadership understands not just what was delivered but what business outcome changed: revenue influenced, margin improvement, labor cost avoided, operating cost reduced, pipeline accelerated, conversion increased, capacity created, risk reduced.

Value types

Every case names a primary value type:

// TIME

Time

Hours returned to the people doing the work — fewer manual steps, faster turnaround.

// COST

Cost

Operating cost removed and capacity reclaimed without adding headcount.

// REVENUE

Revenue

Pipeline accelerated, conversion lifted, revenue recognized sooner.

// RISK

Risk

Fewer errors, tighter controls, reduced operational and compliance exposure.

// EXPERIENCE

Experience

A better day-to-day for employees, stakeholders, partners, and customers.

And how that value shows up

DIRECT

A measurable change you can point to — e.g. fewer FTE hours on a task.

INFLUENCED

A contribution to an outcome — e.g. a faster sales cycle.

ENABLING

A capability that unlocks future value — e.g. better data quality.

// MEASUREMENT HYPOTHESIS

Know what should improve, but not how to prove it?

Send the metric or proxy you care about. We'll help turn it into a measurable case.

Got it.

We'll help turn this into a measurable case. We'll be in touch.

Sent to the Principal Investigator. Submissions may be stored for follow-up and quality review. Privacy notice

Governance

Lightweight governance designed to create clarity without slowing execution. Standing review topics include: new opportunities, active case status, blockers and decisions needed, stakeholder feedback, adoption progress, measurement results, opportunities to scale, and P&L impact visibility.

MeetingAudiencePurposeCadence
Lab working sessionLab owner + active stakeholdersMove cases forwardWeekly / as needed
Stakeholder updateCase stakeholdersShare status, risks, next stepsBiweekly
Portfolio reviewSponsor / leadershipReview priorities, progress, and impactMonthly
Business impact reviewLeadership / finance partnersReview measured outcomes and P&L relevanceQuarterly

Roles and responsibilities

Transformation is a team sport. Each engagement is clear about who owns what.

RoleResponsibility
Lab LeadOwns the Lab operating model, portfolio, stakeholder coordination, delivery path, measurement framework, and reporting.
Executive SponsorProvides strategic direction, prioritization support, escalation path, and organizational advocacy.
Business StakeholderOwns the business problem, defines success, supports adoption, and validates impact.
Technical / Data PartnersSupport feasibility, implementation, integration, security, data quality, and maintainability.
Finance / Analytics PartnersSupport measurement, business case development, and P&L impact validation where applicable.
End UsersParticipate in discovery, testing, feedback, and adoption.

Reporting model

Reporting is maintained at three levels so the right audience sees the right view.

Active case reporting

For each active case: current stage · stakeholder owner · target outcome · key decisions · risks or blockers · next milestone · expected impact.

Portfolio reporting

Across all cases: number of active and completed cases · cases by program · cases by function or P&L · delivery velocity · adoption status · blockers requiring leadership attention.

Business impact reporting

For completed or scaled cases: hours saved · cost avoided · revenue influenced · margin improvement · cycle-time reduction · adoption rate · stakeholder satisfaction · lessons learned · recommended next investments.

// Engage the Lab

Have a workflow that fits this model?

If you can name the problem, the owner, and what “better” would look like, the rest is what the Lab does for a living.