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hrbp-feedback-review

Aggregate external Crew feedback and classify resolution statuses with upgrade recommendations.

8.4k|1.4k|Updated Apr 24, 2024
Search Tags:#automation#multi-agent#feedback analysis#customer sentiment#issue categorization#hrbp
One-click install
npx skills add https://github.com/TeamWiseFlow/wiseflow --skill hrbp-feedback-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hrbp-feedback-review
Source: https://github.com/TeamWiseFlow/wiseflow/tree/main/crews/hrbp/skills/hrbp-feedback-review
Command: npx skills add https://github.com/TeamWiseFlow/wiseflow --skill hrbp-feedback-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It helps HRBP and teams understand how well external-facing Crews are performing by aggregating user feedback and turning it into actionable improvement suggestions.

Core Features & Use Cases

  • Feedback aggregation across external Crews: Scans each active external Crew instance’s feedback directory and summarizes recorded feedback items.
  • Operational metrics by status and category: Computes totals plus resolved, unresolved, and escalated counts, and highlights dissatisfaction signals.
  • Actionable upgrade suggestions workflow: Uses the aggregated findings to propose improvements that can be confirmed before being applied.

Quick Start

Ask the assistant to run a feedback scan across all external Crew instances so you can review the aggregated summary and improvement suggestions.

Frequently Asked Questions about hrbp-feedback-review

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

FAQPage Schema
How do I aggregate external crew feedback for an HRBP performance review?▼

To aggregate external crew feedback for an HRBP performance review, run a scan across active external Crew instances. This classifies resolution and escalation status, computes operational metrics, and produces a structured summary with upgrade recommendations.

What is the best way to categorize customer sentiment and resolution status across multiple Crew instances?▼

Categorizing customer sentiment and resolution status across multiple Crew instances involves scanning each active instance's feedback records. This process quantifies resolved, unresolved, and escalated counts while highlighting dissatisfaction signals for actionable analysis.

How does automated feedback analysis work for periodic HRBP reviews?▼

Automated feedback analysis for periodic HRBP reviews works by scanning external registry records, classifying issue categories, and computing operational metrics. It transforms recorded feedback items into a structured summary highlighting improvement opportunities.

Can I generate actionable upgrade suggestions from unresolved external Crew user feedback?▼

Yes, you can generate actionable upgrade suggestions from unresolved external Crew user feedback. The analysis aggregates dissatisfaction signals and operational metrics to propose specific improvements that can be confirmed before being applied.

Do I need a specific external registry to scan active Crew instances for feedback analysis?▼

Yes, you need an external registry containing feedback directories for active Crew instances. The analysis requires scanning these records to classify resolution and escalation status and compute the operational metrics needed for the summary.

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