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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Prioritize legacy applications by matching portfolio evidence to explicit business goals—not by ranking age or technical debt alone. First decide what the program must achieve, then assess each application’s business value, condition, risk, dependencies, financial fit, and readiness. Use a visible scoring model to create a shortlist, validate it with owners, and plan delivery waves. The best first modernization target is not always the easiest migration pilot or the most business-critical system.
Start with the outcome the program must achieve
Before comparing applications, agree with business owners on the modernization program’s primary goals. Common drivers include enabling innovation and agility, reducing costs in the near term, lowering risk, or improving service. These goals can point to different applications and different treatments, so make conflicts explicit rather than hiding them inside a single score.
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For example, a cost-focused program may favor an application that can be retired or moved with limited effort. A program aimed at enabling a strategic capability may instead favor a system that needs deeper architectural change. AWS recommends setting business drivers and validating the prioritization criteria against them; its guidance emphasizes balancing strategies so strategic applications can receive deeper modernization while other workloads may be rehosted or replatformed first (AWS Prescriptive Guidance: Prioritization and migration strategy; Iterating the prioritization criteria).
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Build an inventory you can improve over time
Create a portfolio record for each application. Capture enough context to compare candidates, but do not wait for perfect documentation before beginning. AWS describes progressively enriching portfolio data and closing information gaps as part of assessment and planning (AWS Prescriptive Guidance: Evaluating modernization readiness for applications in the AWS Cloud; Application portfolio assessment strategy for AWS Cloud migration).
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- Ownership and business context: accountable owner, users, supported processes, strategic role, and service criticality.
- Technology and lifecycle: architecture, platform and operating system, support status, and known constraints.
- Operational and risk profile: availability needs, security concerns, regulatory obligations, incidents, and continuity requirements.
- Costs and alternatives: current operating costs and plausible costs or benefits under potential treatments.
- Dependencies: connected applications, data flows, infrastructure, teams, and shared services.
- Execution readiness: owner engagement, skills, data-migration needs, and foundational capabilities.
Mark unknowns instead of treating them as favorable or unfavorable evidence. A score based on incomplete dependency or cost data may look precise without being reliable; use the inventory to identify where validation could change the order.
Assess candidates across the dimensions that affect the decision
Use a consistent set of lenses, then add organization-specific factors only when they can change the decision. The assessment lenses below reflect AWS guidance; the questions are designed to connect evidence to a prioritization choice (AWS application modernization readiness assessment).
| Dimension | Questions to ask | How it affects priority |
|---|---|---|
| Business and strategic value | Does the application enable a strategic capability or business goal? What outcome should modernization improve? | Connects investment to an agreed outcome and helps distinguish important change from technology cleanup. |
| Functional adequacy | Does the application meet user and business-process needs? | A stable platform can still merit change if it no longer supports the work users need to do. |
| Technical adequacy and lifecycle | Is the platform supported? Is the architecture hard to change, secure, or operate? | Surfaces obsolescence, operational constraints, and technical feasibility. |
| Risk, security, and regulation | What exposure, compliance obligation, or continuity risk affects the system? | Can increase urgency while also requiring more planning and delivery controls. |
| Dependencies and complexity | Which applications, data, infrastructure, and teams rely on it? | Reveals sequencing constraints that can make an apparently small change difficult. |
| Financial fit | What does it cost now, and what costs or benefits are plausible under alternatives? | Helps distinguish a cost-driven case from one driven by agility, service, or risk. |
| Readiness to execute | Are owners engaged, skills available, and prerequisites in place? | A high-value candidate may need preparation before it can be delivered safely. |
Score applications transparently, not mechanically
Choose criteria that differentiate applications against the agreed goals, then publish both the criteria and their weights. AWS examples include business criticality, environment, operating-system support, compute instances, dependency count, migration strategy, and operations-team readiness. They are prompts for building a local model, not universal weights or measured performance findings (AWS guidance on iterating prioritization criteria).
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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesOne AWS low-risk prioritization example assigns a score of 70 to an application with 0–3 dependencies and 10 to one with 11 or more; in the same example, a test environment receives 80 and production receives 20. Those figures illustrate a model intended to surface simpler, lower-risk early candidates. They do not mean that test environments or low-dependency applications are inherently more valuable to the business (AWS Prescriptive Guidance: Prioritization and migration strategy).
Weights should reflect the goal. AWS’s innovation example assigns 80 to AIX, Solaris, or HP-UX operating systems and 20 to Linux; its quick-cost-reduction example assigns 80 to retiring an application and 10 to refactoring it. These are example score values, not empirical rankings of platforms or treatments. They show why a score cannot be interpreted without its objective and scoring rules (AWS guidance on iterating prioritization criteria).
A useful model makes its limitations visible. Record the evidence behind each score, flag missing or uncertain inputs, and distinguish urgency from value and readiness. Avoid letting one convenient metric—such as age, hosting environment, or dependency count—stand in for the full decision.
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Validate the ranking with application and business owners
Review the initial order with the people who understand the systems and the outcomes. Ask whether the ranking matches the agreed goals, whether missing data could change it, and whether dependencies or readiness make the proposed sequence impractical. If owners disagree, identify whether the issue is an incorrect fact, a disputed goal, or a weighting choice; adjust the model only when the rationale is clear.
Microsoft’s modernization planning guidance recommends prioritizing components by business value, risk, dependencies, and other relevant factors. Its roadmap guidance also supports phased planning (Microsoft Learn: Maximize value in your application modernization plan; Roadmap for application modernization). Treat stakeholder review as a check on evidence and assumptions, not a vote to override the model without explanation.
Best Value
Separate the modernization priority from the migration queue
Two different questions often get collapsed into one: Which application deserves modernization investment? and Which application should the team move first? A strategic, business-critical system may warrant deeper modernization but need substantial preparation because of dependencies, risk, or readiness. A lower-risk application may be a better early pilot because it lets the team learn and improve its delivery approach.
Migration treatment also changes effort and timing. AWS notes that rehosting or replatforming can require less upfront effort and support faster short-term efficiencies, while deeper modernization can require greater initial investment and deliver further benefits later. A balanced portfolio can therefore use lower-effort approaches for some applications while reserving deeper change for strategic workloads (AWS Prescriptive Guidance: Prioritization and migration strategy).
Compare the viable treatment options for each application—such as retiring, retaining, rehosting, replatforming, repurchasing, refactoring, or re-architecting where applicable—against the program’s stated driver. Speed and near-term savings may favor a lower-effort option; a strategic business change may justify deeper modernization. Do not label a business-critical system low priority simply because it should not be the first migration, or treat an easy pilot as the highest-value target.
Turn the shortlist into waves and revisit it
After validation, select a manageable first wave for detailed assessment and execution planning. AWS recommends starting with low-risk, low-complexity candidates when building migration experience, then evolving criteria as the business drivers and portfolio understanding develop. Microsoft recommends phasing components with a balance of complexity and business value (AWS prioritization and migration strategy; AWS portfolio assessment strategy; Microsoft modernization planning guidance).
- Choose a first wave for learning as well as delivery. Include candidates the team can assess and execute with available skills, while ensuring the wave advances the program’s goals.
- Complete detailed assessment before committing to a treatment. Resolve high-impact gaps in dependencies, security, cost, data migration, and ownership.
- Use what the wave reveals. Improve inventory quality, estimates, criteria, and delivery foundations based on new information.
- Reassess the remaining portfolio. Update scores and sequencing when evidence, business goals, or execution capacity changes.
Prioritization is a continuing portfolio decision, not a one-time ranking. Keep a record of criteria changes and why they were made so later waves remain explainable to both technical and business stakeholders.
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