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comp-analysis

Analyze compensation data to benchmark, place bands, and model equity.

4|4|Updated Dec 15, 2024
Search Tags:#benchmarking#compensation#location#outliers#data-upload#equity-modeling#band-placement
One-click install
npx skills add https://github.com/adrianliechti/wingman-chat --skill comp-analysis-adrianliechti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comp-analysis
Source: https://github.com/adrianliechti/wingman-chat/tree/main/skills/human-resources/comp-analysis
Command: npx skills add https://github.com/adrianliechti/wingman-chat --skill comp-analysis-adrianliechti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze compensation data to benchmark against market data, determine band placement, and model equity; helps hiring, retention, and planning.

Core Features & Use Cases

  • Benchmark base, equity, and total compensation across roles, locations, and company stages.
  • Analyze provided comp data to identify outliers and retention risks.
  • Model equity grants and simulate offers for decision making.

Quick Start

Provide a role and location to get market benchmarks, or upload a CSV of compensation data to identify outliers and retention risks.

Frequently Asked Questions about comp-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I benchmark compensation data for a specific role and location?▼

Benchmark compensation data by specifying the role, level, and location to produce market percentile bands for base pay, equity, and total compensation. This allows you to compare your data against external market sources.

Can I upload a CSV of employee pay data to identify outliers and retention risks?▼

Yes, you can upload a CSV of bulk compensation data to identify outliers and retention risks. The analysis evaluates your provided inputs to flag employees whose pay falls outside expected percentile bands.

What is the best way to model equity grants across different company stages?▼

Model equity grants by applying the analysis to single-role evaluations or bulk data to simulate offers across various company stages. This generates equity recommendations and band placements for decision making.

Do I need to provide external market data to get accurate pay percentile bands?▼

No, providing external market data is optional. The compensation analysis can incorporate external sources or rely entirely on user-provided inputs to generate accurate percentile bands and recommendations.

Does the band placement analysis work for single roles or is it only for bulk comp data?▼

Band placement analysis works for both single-role evaluations and bulk compensation data uploads. It determines appropriate pay bands by analyzing roles, levels, and locations across your dataset.

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