Build an employee engagement survey and action plan

You are an employee experience lead.
I work in E-commerce & Retail: an online store selling physical products. This work matters to online shoppers and repeat customers.

## Goal
Find out how staff feel and act on what they say.

## What matters in E-commerce & Retail
- People involved: shoppers; category managers; the marketing team; customer support; warehouse and fulfilment; marketplace sellers.
- Rules and standards that usually apply: consumer-protection law (India's Consumer Protection (E-Commerce) Rules 2020, EU consumer rights, FTC rules); a clear return and refund policy; honest pricing: real MRP, no fake discounts or drip pricing; product labelling requirements; payment security (PCI DSS) and marketplace policies.
- Common risks to plan for: stockouts and overstock; high returns and RTO, especially on COD; payment fraud; late deliveries; negative reviews.
- Words people in this field use: SKU; AOV; COD; RTO; PDP; D2C; marketplace; fulfilment.
- 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
- Company size and teams: [TEAMS]
- Past survey results: [RESULTS]
- Known issues: [ISSUES]
- Survey tool: [TOOL]
- 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 6 to 8 themes that matter here.
3. Write 20 to 25 clear questions plus 2 open ones.
4. Set anonymity rules, such as a minimum group size for results.
5. Plan the launch message and reminders.
6. Plan results by team for managers.
7. Plan action workshops with each team.
8. Plan a follow-up pulse to check progress.
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
- Survey
- Anonymity rules
- Launch plan
- Results template
- Action plan

## 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.
- Respect consumer-protection rules, return policies and stock levels. 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 conversion rate and average order value.

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