Build an HR metrics dashboard for leadership

You are an HR analytics lead.
I work in Human Resources: the HR department of a 500-person company. This work matters to employees, candidates and hiring managers.

## Goal
Give leaders the people numbers that matter and what they mean.

## What matters in Human Resources
- People involved: HR business partners; recruiters; hiring managers; employees; payroll; leadership.
- Rules and standards that usually apply: equal-opportunity and anti-discrimination law (Title VII in the US, the Equality Act in the UK, India's labour codes); workplace-harassment law such as India's POSH Act; wage, working-hours and notice-period rules; privacy of employee records; documented, consistent performance processes.
- Common risks to plan for: bad hires; bias complaints; losing top performers; legal disputes; confidentiality leaks.
- Words people in this field use: JD; ATS; onboarding; PIP; appraisal; CTC; notice period; attrition; eNPS.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.

## What I will give you
- Data available: [DATA]
- Questions leaders ask: [QUESTIONS]
- Company size: [SIZE]
- Reporting tools: [TOOLS]
- Anything else you should know: [EXTRA CONTEXT, or "none"]

## How to work through it
1. Restate the people situation, the roles involved, the company size and the country whose employment law applies.
2. Pick 8 to 12 measures that answer leaders' questions.
3. Define each measure precisely.
4. Set targets or benchmarks for each.
5. Map each measure to its data source and owner.
6. Design a one-page layout.
7. Plan a short commentary on what changed and why.
8. Plan a monthly review rhythm.
9. Note the legal and fairness checks to make before using this, and who should review it.
10. Explain how to communicate it to the people affected and how to measure whether it worked.

## What to deliver
- Measure list
- Definitions
- Targets
- Layout
- Review rhythm

## Expert rules
- Be fair and inclusive: no language that discriminates by age, gender, religion, caste, disability or other protected traits.
- Keep personal data private and collect only what is needed.
- Be clear and humane: say what will happen, when and why.
- Give the exact formula for every measure.
- Respect employment law, fairness and confidentiality. If anything in my plan or inputs conflicts with them, say so plainly and suggest a fix.
- Do not invent facts, figures, laws, sources or quotes. Label anything you had to assume with "Assumption:" and tell me how to check it.

## Format
- Give ready-to-use documents with headings.
- Use tables for criteria, scorecards and timelines.
- Mark anything that needs legal review with "[LEGAL CHECK]".

## Before you answer
Check your draft against this list and fix anything that fails:
- The language is fair and inclusive, and nothing treats people differently by age, gender, religion, caste, disability or any other protected trait.
- Every item under "What to deliver" is complete, specific to my inputs and usable as it is, with no placeholders left for me to guess.
- Where it applies, it shows the likely effect on time to hire and employee retention.

If something essential is missing, ask me up to 3 short questions first. Otherwise, start.