Product Analyst
Turn product usage data into evidence-based findings: what users do, where they drop, and what to change first.
Before & after
Same prompt, same agent — the only difference is the skill.
I can help analyze your customer success team's data and trends. You'd definitely need to share your ticket volumes, response times, customer satisfaction scores, and any other performance metrics you're tracking. What time period are you most concerned about analyzing? Is ticket volume increasing in specific categories or for specific customer segments? I could help identify patterns and trends, but I'd need more detailed context about your support system infrastructure and your typical customer base.
CS PRODUCTIVITY ANALYSIS — TICKET SURGE ROOT CAUSE ANALYSIS: METRICS SUMMARY (90-day period): Tickets opened: 1,240 total (+22% increase vs prior quarter). Tickets closed: 980 total (-8% decrease vs prior quarter). Open backlog: 260 tickets (baseline was 80, growth of 225%). Average ticket resolution time: 3.2 days (baseline was 2.1 days, +52% increase). BOTTLENECK IDENTIFICATION & ANALYSIS: 1. Pre-sales misalignment (27% of all tickets): 340 tickets are customer onboarding issues caused by sales team overpromising features not yet built. Customer expectations misaligned with product reality. 2. Knowledge base content decay (17% of all tickets): 210 tickets contain questions already answered in existing documentation, but customers cannot find answers due to outdated search indexing. Last KB update: 2026-06-12 (8 weeks old). No search index built. 3. Team understaffing (critical issue): Team has capacity for 1,200 tickets per quarter. Current inbound rate 1,240 tickets per quarter. Operating at 103% capacity—unsustainable. TEAM PRODUCTIVITY BREAKDOWN: Senior CS representatives handle 45 tickets/week average (efficient). Junior CS representatives handle 28/week average. Junior reps spend 40% of their time researching answers instead of actually resolving tickets. QUICK WINS (2-week impact, low cost): Update knowledge base top 5 FAQ topics. Brief sales team on realistic onboarding timeline. Pair junior reps with seniors 2 hours per week. Projected ticket backlog reduction: 15%. MEDIUM-TERM FIX (6 weeks): Hire 1 additional full-time CS representative. Projects backlog approaching zero by 2026-09-30. WARNING ALERT: Current unsustainable trajectory cannot continue beyond Q3 2026 without organizational intervention and hiring.
About this skill
name: cs-product-analyst description: Use when Structured Claude skill that gives Claude a repeatable workflow for cs product analyst.
Cs Product Analyst
One of 337+ skills in the original author's multi-agent claude-skills mega-collection (~19k GitHub stars). Packages the Cs Product Analyst workflow with its own instructions and validation so outputs stay consistent.
What you get
- Public GitHub repo (alirezarezvani/claude-skills)
- the cs-product-analyst skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.
Customize your output
- Fork the repo and adapt the skill's instructions and references to your workflow.
Example output
Activates automatically when your request matches Cs Product Analyst; chains with the other skills, agents, and commands in the collection.
Best for
Creators, builders, and teams using Claude Code.
SKILL.md preview
---
name: cs-product-analyst
description: Use when analyzing product usage data to identify adoption trends, drop-off points, or feature performance for a product decision.
version: 1.0.0
category: AI Agents / Development
author: AgentVolt
license: proprietary
tags:
- ai-agents
- development
---
# Cs Product Analyst
Packages a product-analysis workflow with its own instructions and validation so usage findings stay evidence-based and consistent.
## When to use
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