Survey Data Analyzer

Name: Survey Data Analyzer
Brand: AgentVolt
Availability: InStock

Analyzes raw survey data and produces statistics, supporting files, and a presentation-ready summary.

Data / Analyticsdataanalytics

by AgentVoltv1.0.0Published 1y ago1 install

Free to sign up · every skill included with AgentVolt Pro

Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Analyze our 240 annual customer survey responses for trends.”

Beforegeneric AI agent

I can help you make sense of survey data. Statistical analysis involves looking at patterns, calculating averages and distributions, and identifying correlations between questions. Different questions call for different analysis methods. You could create visualizations to show the findings, and a presentation would help communicate results to stakeholders. I'd suggest organizing the data by customer segment if possible. Would you like me to start by reviewing the raw responses?

Afterwith Survey Data Analyzer

SURVEY ANALYSIS REPORT: CUSTOMER SATISFACTION (240 responses)

DEMOGRAPHIC SPLIT: Enterprise 62%, Mid-market 28%, SMB 10%.

KEY FINDINGS WITH CONFIDENCE INTERVALS (95%):
Overall satisfaction: 73% (71-75% range). Enterprise leads at 81%, mid-market 65%, SMB 58%. Issue: price-value perception drops 18% in SMB tier.

Problem ranking by segment impact: onboarding friction (Enterprise: 34% mention, Mid-market: 47%), feature gaps (28%, 31%), support response time (18%, 22%).

STATISTICAL METHODS APPLIED: Likert-scale to ordinal conversion, Spearman rank correlation for segment clustering, Fisher's exact test on categorical sub-groups (n too small for chi-square).

SECONDARY FINDING: 61% of mid-market respondents cite competitor comparison during evaluation. Enterprise shows 12% coefficient of variation in renewal likelihood by geography.

ACTION PRIORITIES: Onboarding redesign affects 41% of sample. Price rationalization for SMB tier. Support SLA upgrade.

DELIVERABLES: Statistical summary (attached), slide deck with 12 charts, segment-level deep dives, confidence bands on all metrics, methodology appendix.

About this skill

name: survey-data-analyzer description: Use when Analyzes raw survey data and produces statistics, supporting files, and a presentation-ready summary.

Survey Data Analyzer

The Survey Data Analyzer skill ingests raw survey responses, runs the relevant statistical analysis, and packages the findings into both supporting data files and a presentation, so you go from raw responses to a shareable summary without manually running the numbers.

What you get

Statistical analysis of survey data plus a generated presentation summarizing the findings.

Customize your output

Which questions/segments to analyze
statistical methods used
presentation format.

Example output

A stats summary and slide deck built directly from a raw survey export.

Best for

Anyone running customer or market surveys who needs fast, professional analysis.

SKILL.md preview

SKILL.md

---
name: survey-data-analyzer
description: Use this skill to turn raw survey responses into statistical findings, supporting data files, and a presentation-ready summary.
version: 1.0.0
category: Data / Analytics
author: AgentVolt
license: proprietary
tags:
  - data
  - analytics
  - standard
---

# Survey Data Analyzer

Ingests raw survey responses, runs the appropriate statistical analysis, and packages findings into supporting data files and a presentation-ready summary.

## When to use

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