ARRVIQ™

A proprietary methodology

ARRVIQ™

Audit · Review · Recommend · Validate · Implement · Qualify

Technology Assessment & Transformation Methodology

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The ARRVIQ six-stage methodology wheel: Audit, Review, Recommend, Validate, Implement and Qualify arranged around a central ARRVIQ mark, applied to Atlassian, Jira and Confluence environment assessment.
  1. A · AUDIT

    Establish current state

  2. R · REVIEW

    Risks • Gaps • Technical Debt • Opportunities

  3. R · RECOMMEND

    Evidence-based improvements

  4. V · VALIDATE

    Test • Challenge • Confirm

  5. I · IMPLEMENT

    Technical configuration changes

  6. Q · QUALIFY

    Quality • Governance • Scalability • Operational effectiveness

Qualified Outcome

CLEAN • GOVERNED • SCALABLE • AI-READY

Currently applied to complex Atlassian environments.

See the six-stage framework ↓

Definition

What ARRVIQ™ Means

A structured methodology for assessing, improving, governing and qualifying complex technology environments.

ARRVIQ takes its name from the initials of the six stages that define the methodology.

  • AAudit
  • RReview
  • RRecommend
  • VValidate
  • IImplement
  • QQualify

A methodology for moving from complexity to clarity.

The Framework

The Six-Stage ARRVIQ™ Framework

  1. A · AUDIT

    Audit

    Establish the current state through structured evidence gathering, configuration review, health checks, documentation and analysis.

  2. R · REVIEW

    Review

    Examine the evidence to identify risks, gaps, duplication, technical debt, inefficiencies, dependencies and opportunities.

  3. R · RECOMMEND

    Recommend

    Define practical, evidence-based and prioritised recommendations addressing the identified risks and opportunities.

  4. V · VALIDATE

    Validate

    Test and challenge the proposed approach to confirm that it is technically appropriate, workable, secure and aligned with governance and operational requirements.

  5. I · IMPLEMENT

    Implement

    Put agreed improvements into practice through controlled implementation, configuration, migration, automation or other appropriate technical intervention.

  6. Q · QUALIFY

    Qualify

    Assess the resulting environment against the required standards to confirm that it is fit for purpose, appropriately governed, maintainable and ready for ongoing operation.

Purpose

Purpose & Methodology

The methodology provides a structured, end-to-end approach to understanding the current state of an environment, identifying risks, gaps and opportunities, defining and recommending improvements, validating the proposed approach, supporting implementation, and ensuring the resulting environment meets the required standards of quality, governance and operational effectiveness.

ARRVIQ is technology-agnostic. It is currently applied to Atlassian environments, but it is not defined as an Atlassian methodology.

Where ARRVIQ Is Currently Applied

Atlassian Cleanup starts with Jira Cleanup: an evidence-based picture of the environment as it actually is — Jira projects, workflows, statuses, issue types, custom fields and screens, mapped rather than assumed.

Jira Configuration and Jira Governance then bring what is found under control — rationalising schemes, permissions, notifications and automation rules, and tidying the dashboards and filters built on top of them. Confluence Cleanup applies the same discipline to spaces and content, and JSM Optimisation reviews Jira Service Management configuration, portals and request types against how the service desk actually operates.

Migration Readiness assesses technical debt, integrations and connected apps ahead of a Server-to-Cloud migration. AI Readiness qualifies the environment’s data and configuration foundations for future AI adoption — the point at which CLEAN, GOVERNED and SCALABLE become AI-READY.

Outcomes

The ARRVIQ™ Qualified Outcome

Clean

A decluttered, simplified environment, free of unnecessary complexity and technical debt.

Governed

Consistent control, ownership and accountability across the environment.

Scalable

A foundation that can support growth rather than allowing complexity to accumulate.

AI-Ready

The configuration, governance and operational foundations in place for responsible AI adoption.

Every engagement starts with an ARRVIQ™ assessment.

Understand first. Improve with evidence. Implement with control. Qualify the outcome.

Atlassian Engagements

ARRVIQ™ Applied to Atlassian Environments

Two representative engagements illustrating how the ARRVIQ methodology is applied to real Jira and Confluence environments.

Representative Engagement

Jira Server to Jira Cloud: Migration Readiness

A Jira Server environment that had grown over many years of unmanaged configuration change needed to be understood and prepared for a move to Jira Cloud. The engagement began with a full ARRVIQ audit of the existing project and configuration inventory to establish exactly what the environment contained and why.

The review stage surfaced the accumulated technical debt typical of a long-running Jira Server instance — duplicated configuration, unused schemes and inconsistent workflows carried forward from earlier projects. Recommendations focused on rationalising this configuration ahead of migration. Each recommendation was validated against the practical constraints of a Cloud migration before a controlled implementation phase addressed the agreed changes, and the environment was qualified against ARRVIQ's readiness criteria.

  • Jira project and configuration inventory
  • Workflow, status and custom field review
  • Screen, scheme and permission audit
  • Connected applications and integrations
  • Technical debt and configuration rationalisation
  • Migration risk and configuration readiness assessment
  • Target-state planning and validation

AUDIT → REVIEW → RECOMMEND → VALIDATE → IMPLEMENT → QUALIFY

Outcome: a cleaner, better-understood and governed Jira environment, with a clearer migration path to Jira Cloud and materially reduced migration risk.

Representative Engagement

Messy Jira Instance to Governed Environment

A large Jira instance had accumulated years of configuration sprawl: duplicated and inactive projects, an excessive number of custom fields, inconsistent workflows and redundant statuses across teams, and permission schemes that had become difficult to reason about. Dashboards, filters and automation rules had multiplied with no consistent ownership or review process.

An ARRVIQ audit and review established a complete picture of the environment's configuration and usage, distinguishing what was active and necessary from what had simply accumulated. Recommendations addressed consolidation of projects, fields, workflows and schemes, and the removal of unused dashboards, filters and automation. Proposed changes were validated with the teams affected before implementation, and the resulting environment was qualified against ARRVIQ's governance standards.

  • Duplicated and inactive project review
  • Custom field and workflow rationalisation
  • Status and scheme consolidation
  • Permission structure review
  • Dashboard, filter and automation cleanup
  • Technical debt and governance assessment

AUDIT → REVIEW → RECOMMEND → VALIDATE → IMPLEMENT → QUALIFY

Outcome: CLEAN → GOVERNED → SCALABLE → AI-READY — a Jira environment with the configuration, governance and operational foundations in place for sustainable growth and future AI adoption.

These are illustrative, representative engagements — not completed projects for a named client.

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