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Diagnostics

We deliver structured assessments, maturity models, and evidence-led health checks that turn uncertainty into clarity. Built for Strategy, Financial Transformation, Enterprise Resource Planning Implementation, Artificial Intelligence Integration, and Growth and Go To Market, and powered by OneMind Strata’s research and intelligence engine.

Diagnostic Philosophy

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Diagnostics exist to reveal truth that decisions can use. A good diagnostic clarifies where an organization stands, why it is there, and what to do next. It is not a checklist or a performance review; it is a disciplined inquiry that connects present reality to desired outcomes without spin or wishful thinking.

Principles that guide every assessment. We anchor questions in strategy, trace findings to evidence, and separate symptoms from causes. We define clear scoring logic, disclose assumptions, and map each insight to a lever that leaders can move. The goal is not a score; the goal is a shared understanding that unlocks action.

How this philosophy shows up across the five domains. In Strategy, diagnostics test the coherence of choices and the concentration of advantage. In Financial Transformation, diagnostics examine controllership strength, forecasting reliability, and return discipline. In Enterprise Resource Planning Implementation, diagnostics verify process integrity, data quality, and user adoption. In Artificial Intelligence Integration, diagnostics evaluate model utility, governance, and safety. In Growth and Go To Market, diagnostics assess demand clarity, conversion health, and retention strength.

Human insight plus machine assistance. Facilitators run interviews and working sessions while analytical tools synthesize patterns in documents, systems data, and signals from the field. The combination keeps the process grounded in both lived context and hard evidence.

Outcome. Leaders gain a single version of reality that is honest, specific, and tied to levers. Debate shifts from whether a problem exists to how to sequence the fix.

Assessment Design System

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Design assessments that are reliable, comparable, and actionable. Each assessment uses a standard template that defines purpose, scope, evidence sources, scoring bands, reviewer roles, and decision triggers. This creates consistency across teams and over time so that scores mean the same thing in every context.

Evidence before opinion. Every item cites the artifact or data point that supports the rating. Participants can click from a finding to the policy, log, dashboard, or decision record that grounds the judgment. This transparency builds trust and accelerates remediation.

Application across the five domains. In Strategy, assessments rate clarity of intent, portfolio fit, and risk posture. In Financial Transformation, assessments rate close process health, forecasting process quality, and spend governance. In Enterprise Resource Planning Implementation, assessments rate blueprint completeness, integration readiness, and cutover risk. In Artificial Intelligence Integration, assessments rate data readiness, model lifecycle practices, and human-in-the-loop safeguards. In Growth and Go To Market, assessments rate ideal customer definition, pipeline hygiene, and lifecycle orchestration.

Scoring that respects nuance. We use descriptive bands that make the meaning of a score obvious in plain language. We describe what good looks like, what risks appear at each level, and what steps move a team to the next band.

Outcome. Assessments become instruments that guide investment, not reports that gather dust. Teams know exactly what to fix, who owns the fix, and how progress will be verified.

Maturity Models Framework

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Maturity models describe the path from ad hoc to world class. They give leaders a shared language for stage, gap, and next step. Used well, they prevent overreach, pace investment, and align stakeholders around realistic progress.

Structure that travels across functions. Each model defines stages with clear characteristics, required capabilities, expected outputs, and quality signals. We pair each stage with hazards to avoid and with sample evidence that proves the stage is real, not aspirational prose.

Examples across the five domains. In Strategy, stages move from scattered initiatives to a portfolio that concentrates advantage with disciplined exit criteria. In Financial Transformation, stages move from manual reconciliation to continuous close with reliable scenario planning. In Enterprise Resource Planning Implementation, stages move from pilot usage to stable end-to-end flow with straight-through processing. In Artificial Intelligence Integration, stages move from experimental pilots to embedded decision support with measurable lift and guardrails. In Growth and Go To Market, stages move from opportunistic selling to a repeatable, segmented growth engine with durable revenue.

Progress that is paced and provable. Advancement requires evidence, not intention. Teams attach artifacts, screenshots, and metrics to stage reviews so that maturity is a fact, not a claim. This keeps investments honest and outcomes durable.

Outcome. Roadmaps become achievable, sequencing becomes sane, and leaders can communicate progress with confidence because proof is attached to every claim.

Diagnostic Dashboards and Heatmaps

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Visuals turn findings into focus. Dashboards and heatmaps summarize strengths, gaps, and risks by domain, by function, and by owner so that attention goes where it matters most. Colors indicate state, trends indicate movement, and links take users to the underlying evidence.

From executive view to team view without translation loss. A single diagnostic spine connects leadership summaries to detailed workstream panels. The same definitions and the same scoring bands cascade from the boardroom to the squad room so that conversations stay aligned.

Patterns across the five domains. Strategy visuals highlight alignment to intent, decision velocity, and risk concentration. Financial Transformation visuals highlight working capital health, close quality, and return discipline. Enterprise Resource Planning Implementation visuals highlight data hygiene, cutover readiness, and process cycle time. Artificial Intelligence Integration visuals highlight model coverage, safety events, and productivity lift. Growth and Go To Market visuals highlight pipeline quality, activation flow, and retention durability.

Context beside the number. Every tile includes the owner, the last review date, the linked artifacts, and the next planned action. Notes capture assumptions and dependencies so that the story behind the rating is never lost.

Outcome. Leaders see where to intervene, teams see what to do next, and the organization reduces the risk of blind spots because weak signals are surfaced early.

Review and Recalibration Cadence

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Rituals keep diagnostics alive. We run weekly issue triage for teams, monthly synthesis for portfolios, and quarterly re-assessment for leadership. Each session has a structured agenda, a pre-read, a decision log, and a follow-up plan so that insights turn into motion.

Close the loop with proof. Findings translate into actions, actions translate into evidence, and evidence updates the rating. When reality changes, scores change. When scores change, plans change. The loop is explicit and owned.

Signals across the five domains. Strategy reviews confirm that choices and investments remain coherent. Financial Transformation reviews confirm that reliability and returns are improving. Enterprise Resource Planning Implementation reviews confirm that adoption is real and processes are stable. Artificial Intelligence Integration reviews confirm that models are useful, safe, and widely used. Growth and Go To Market reviews confirm that acquisition, conversion, and retention are compounding.

Transparency and trust. Results are visible to the people doing the work, to partners who depend on the work, and to leaders who sponsor the work. Visibility creates shared ownership and reduces energy lost to speculation.

Outcome. The organization adapts with integrity. Diagnostics guide sequencing, investments follow evidence, and progress becomes predictable because learning is continuous.

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