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Grok Bot+18 agentsEmployee Survey Analyzer — Turn Feedback Into Action
Validate survey data, interpret scores and comment themes with privacy controls, and turn supported findings into accountable follow-up actions.
$9.99
Employee Survey Analyzer — Turn Feedback Into Action
Example session with this skill installed
Illustrative scenario: A pulse invited 50 employees and received 30 responses. The workload item has 30 valid answers: 12 favorable, 10 neutral, 8 unfavorable. Favorable means the two highest scale choices. No comments, subgroup data or prior wave are supplied. Analyze and propose an action.
- Read your context and instructions
- Compiled the employee survey analyzer
Data check: Invited 50; responses 30; workload-item valid answers 30. The supplied counts reconcile. Confirm invitation completeness and the actual question wording before broader interpretation.
Participation: 30 / 50 = 60%. Nonresponse bias remains possible; the results do not represent every employee’s view.
Workload distribution: Favorable 12 / 30 = 40%; neutral 10 / 30 = 33.3%; unfavorable 8 / 30 = 26.7%. These are respondent results, using the supplied favorable definition. No mean score can be calculated without individual scale values.
Interpretation: Responses are mixed. Workload deserves clarification; these data alone do not establish causes, burnout, attrition risk or manager quality.
Privacy: Report only the aggregate. No subgroup inference or identifying comment quotations are available.
Proposed action: People team and operational leaders review workload processes with confidential, voluntary feedback. Assign an owner and date before launch. Explore workload allocation, priorities and resource blockers without assuming a cause.
Follow-up: Repeat the same item with comparable wording and scale after an agreed action period; compare distribution and participation and explain methodological changes.
Employee update draft: “Thirty of fifty invited employees responded. Workload feedback was mixed. We propose reviewing workload allocation and priorities, then reporting agreed actions and a follow-up measure.”
Limits: No trend, benchmark, comment themes or causal impact assessed. No action implemented or message sent.
Connects securely to your tools. The creator never sees your data.
About this skill
Employee Survey Analyzer supports HR and people-analytics teams with survey design audits, dataset validation, participation checks, quantitative interpretation and qualitative comment analysis. It checks scales, denominators, missing data and comparability before reporting scores or trends.
The skill separates theme prevalence, sentiment, severity and actionability, applies privacy and subgroup suppression rules, and translates supported findings into actions with owners, deadlines and follow-up measures. It can prepare leadership, manager and employee-facing reports and “You Said / We Did” updates from actual evidence.
Use in ChatGPT or Claude with pasted data or authorized files. It preserves uncertainty and does not infer respondent identities, invent benchmarks, claim causation or make employment decisions. Serious safety or misconduct feedback requires secure human review.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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