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SMART criteria

As explained in AI for Everyday IT

A goal-writing framework requiring objectives to be specific, measurable, achievable, relevant, and time-bound.

SMART format turns vague objectives into shared targets by requiring them to be specific, measurable, achievable, relevant, and time-bound. Clear metrics reduce guesswork about what success means. section 15.3.3

A SMART objective should be:

  • Specific: state exactly what should be achieved. section 1.1
  • Measurable: include evidence or metrics for progress and success. section 15.3.3
  • Achievable: remain realistic given available resources. section 15.3.3
  • Relevant: connect personal work with team and company objectives. section 15.3.3
  • Time-bound: identify a deadline or review period. section 1.1

AI-assisted validation

Ask AI: “Review the following proposed goal against the SMART criteria. Suggest ways to make it more specific, measurable, achievable, relevant, or time-bound, and define criteria for Meets, Strongly Meets, and Exceeds.” Validate the suggestions against real priorities and available resources. section 15.3.3

Table 15.7 SMART goal analysis prompts
Task
Prompt
SMART goal validator
Review the following proposed goal and provide feedback on how well it aligns with the SMART criteria. Provide suggestions for making it more specific, measurable, achievable, relevant, or time-bound. Also provide criteria to rank the goal as Meets, Strongly Meets, and Exceeds.
Progress tracker
Based on the SMART Goals set for each team member, create a spreadsheet-based dashboard that tracks and measures progress, including the flagging of any goals that are at risk of not being met.
Goal alignment analyzer
Review the SMART Goals of each team member and assess how well they align with the team’s objectives and the company’s overarching strategy. Provide recommendations for realignment if necessary.
Resource allocator
Given the SMART Goals of each team member, suggest an optimal allocation of resources (time, headcount, budget) to achieve these goals within the set timeframe.
Performance prediction
Use historical performance data to predict the likelihood of each SMART Goal being achieved. Provide risk assessments and recommend contingency plans for goals that are less likely to be met.

Explore prompts for validating goals, tracking progress, checking alignment, and identifying unrealistic resource demands. section 15.3.3

How AI for Everyday IT covers it

How deep it goes
Defines five criteria and extends them into validation, tracking, alignment, and feasibility checks.
Examples
Uses an AI validator, progress dashboard, alignment analyzer, resource allocator, and performance-prediction prompts.
What it assumes
Assumes a proposed objective and awareness of relevant team priorities, while defining the SMART criteria explicitly.
What you can do after
Apply it via AI-assisted validation, progress tracking, and alignment checks while reviewing goals for realism.
How it connects
Connects SMART goals with performance reviews, team objectives, company strategy, feedback, and progress tracking.

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