# kpitree.io

> Self-service KPI tree builder. Turn your data into interactive KPI trees to understand what drives results, where performance breaks, and what to improve next.

## What is kpitree.io?

kpitree.io is a self-service tool that lets teams build interactive KPI trees from their own data. A KPI tree breaks a top-level business metric (like revenue) into its component drivers, showing cause-and-effect relationships between metrics. This helps teams understand what actually drives results, identify where performance breaks down, and decide where to focus next.

## Who is it for?

- Finance Analysts explaining performance changes to stakeholders
- Business Analysts doing root cause analysis on business metrics
- Consultants delivering clear driver logic to clients
- Product Analysts prioritizing growth outcomes and experiments

## How it works

1. Upload your data: connect your spreadsheet or data source
2. Define KPI relationships: define formulas between your metrics and create new measures
3. Generate your KPI Tree: set filters, adjust the layout, customize the visuals, and export

## Why teams switch to kpitree.io

### Self-service
- Import data from spreadsheets or any connected source. No setup, no waiting.
- Organize metrics into a structured tree. No SQL, no code, no analyst.
- Define relationships between measures visually and update them in seconds.
- Rearrange branches, rename nodes, and restructure hierarchies on the fly.
- Share a live, interactive tree with your team instead of a static slide deck.

### Clarity
- Every number reconciles. Trace any change back to the exact driver.
- Compare periods side by side to pinpoint what moved the needle.
- Surface hidden contributors that dashboards consistently miss.
- Make every driver visible to everyone. No more debating the math in meetings.
- Embed metric definitions so every team works from the same numbers.

### Impact
- Rank drivers by contribution so your team focuses on what moves the needle.
- Replace manual drill-downs with automatic tree traversal across all levels.
- Generate presentation-ready root-cause analyses before your next standup.
- Reduce alignment meetings by making performance drivers clearly visible.
- Turn every KPI review from a status update into a decision-making session.

## How kpitree.io compares

| Feature | Traditional BI | Most KPI Tree Tools | kpitree.io |
|---|---|---|---|
| Setup time | Days to weeks | Hours to days | Under 5 minutes |
| Requires technical skill | Yes, always | Often | No, fully self-service |
| Natural language controls | Not available | Not available | Coming soon |
| Tree customization | Not supported | Template-based | Fully flexible |
| Collaboration | Screenshot in Slack | View-only sharing | Shared interactive trees |

## What is a KPI tree?

A KPI tree is a visual framework that breaks a top-level metric into its real drivers. Each branch explains contribution and cause. It helps teams trace the cause of metric changes, find the key drivers that move the needle, and act with clarity by answering "why" questions fast.

## AI features (coming soon)

kpitree.io is building AI that reads your tree, spots patterns, and explains what matters in plain language. Planned capabilities include natural language summaries, trend detection, and action recommendations.

## FAQ

- **What is the difference between a KPI tree and a metrics tree?** They refer to the same concept: a structured decomposition of business metrics. Also called driver trees or KPI decomposition frameworks.
- **How is a KPI tree different from a BI dashboard?** Dashboards display metrics side by side without relationships. A KPI tree structures metrics hierarchically with mathematical relationships for instant root cause analysis.
- **Why are KPI trees better for root cause analysis?** Dashboards show what happened. KPI trees show why. Follow the tree from top to bottom to identify the root cause in a single view.
- **Can a KPI tree replace BI tools?** It complements them. Your BI tools handle exploration and reporting. KPI trees add the strategic "why" layer on top.
- **What metrics can go in a KPI tree?** Any metric expressible as a formula: revenue trees, SaaS ARR trees, e-commerce trees, marketing funnels, operational efficiency trees.

## Example use cases

- E-commerce: Break down total revenue into traffic, conversion rate, average order value, and their sub-drivers
- SaaS: Decompose Annual Recurring Revenue (ARR) into new MRR, expansion MRR, and churned MRR
- Marketplaces: Analyze gross merchandise value through buyer and seller metrics

## Pricing

Simple, flexible pricing with weekly, monthly, or yearly access. Full access to all features including unlimited KPI trees, priority support, and priority access to the product backlog. Founding users lock in early pricing forever.

## Blog articles

- KPI Tree: Turn Business Metrics Into Clear Decisions
- How to Build Your First KPI Tree: A Step-by-Step Guide
- The Hidden Cost of Vanity Metrics
- From Spreadsheets to Strategy: Modernizing Your KPI Framework
- 5 Patterns That Indicate Your Metrics Are Misaligned
- How to Build an AI-Powered KPI Tree
- Dashboard Fatigue Is Real: Why KPI Trees Cut Through the Noise
- KPI Tree Examples: Revenue, SaaS, E-Commerce & Marketing
- KPI Tree vs Balanced Scorecard
- KPI Tree Template: How to Structure Metrics for Any Business
- What Is a Driver Tree? How KPI Trees Reveal Root Causes
- Why Strategy Fails Without a KPI Tree
- How to Build a Winning BI Team in the Age of AI
- KPI Trees for Promotion Effectiveness in CPG
- Building Robust KPI Tree Visualizations: The Edge Cases That Break the Math
- KPI Tree Tools for Independent Consultants: Where Self-Service Visualization Pays Off
- KPI Tree Generator vs AI Chatbot: Why Self-Service Tools Beat LLMs for Real Work

## Legal and trust

- Privacy Policy: https://kpitree.io/privacy-policy
- Terms of Service: https://kpitree.io/terms
- Acceptable Use Policy: https://kpitree.io/acceptable-use (categories of data we ask users not to upload)
- Data Processing Agreement: https://kpitree.io/data-processing-agreement (GDPR Article 28 terms)
- Security overview: https://kpitree.io/security (encryption, hosting, incident response)
- Cookie Policy: https://kpitree.io/cookies

We do not sell user data and do not use uploaded data to train third-party AI models. Hosting is in the EU.

## Machine-readable feeds

- RSS 2.0 feed: https://kpitree.io/rss.xml
- Blog posts JSON (all, full content as plain text and markdown): https://kpitree.io/api/blog-posts.json
- Blog posts index (lightweight, for polling): https://kpitree.io/api/blog-posts/index.json
- Single post JSON: https://kpitree.io/api/blog-posts/{slug}.json

## Contact

Website: https://kpitree.io
Email: founders@kpitree.io
Data requests: dpo@kpitree.io
Security: security@kpitree.io
LinkedIn: https://www.linkedin.com/company/kpitree-io