# Analytics For Designers

> Using analytics tools for design decisions, behavioral analysis, and data-informed design.

- Skill: `dragoon0x/analytics-for-designers` (Agent Skill)
- Install (CLI): `npx skillmds@latest add dragoon0x/analytics-for-designers`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dragoon0x/analytics-for-designers/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: dragoon0x (https://skillmd.com/u/dragoon0x)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/dragoon0x/analytics-for-designers

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# Analytics for Designers

## What to Track
| Question | Metric | Tool |
|----------|--------|------|
| Do users find X? | Click-through rate to X | Product analytics |
| Can users complete Y? | Task completion rate | Funnel analysis |
| Where do users struggle? | Drop-off points | Funnel analysis |
| How do users navigate? | Flow analysis | Path analysis |
| What do users ignore? | Feature adoption rate | Usage analytics |
| Is the new design better? | A/B test results | Experimentation platform |

## Design Decisions from Data
1. High bounce rate on page → Redesign above-fold content
2. Users clicking non-interactive elements → Make them interactive or change visual treatment
3. Low feature adoption → Improve discoverability or question the feature's value
4. Long form completion time → Simplify the form
5. Users rage-clicking → Something is broken or confusing

## Qualitative + Quantitative
- Analytics tells you WHAT users do
- Research tells you WHY users do it
- Use both. Never just one.