Adadot

Adadot is a developer analytics platform that provides deep, benchmarked insights into engineering teams and the broader impact of engineering decisions. It aggregates data across tooling environments and communication channels to reveal how developers work, how collaboration affects output, and where to focus improvements for quality and velocity.

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Overview

• 125+ clients worldwide
• All data points benchmarked against 50,000+ active developer datasets
• Four layers of statistical analysis and normalisation to ensure robust, representative metrics
• Aims to build trust, autonomy, and clear representation of developer work

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What It Shows

• True cost of engineering initiatives on people and code
• Development health indicators such as quality, focus time, and potential overwork
• Alignment of effort with outcomes: where time and energy are spent and whether it drives value
• Collaboration health by pulling data from communication channels to understand team dynamics

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How It Works

1. Collect data from your tooling environment and communication channels.
2. Normalize and benchmark each data point against a large dataset of peers.
3. Apply four layers of statistical analysis to ensure robust insights.
4. Present a holistic view of engineering performance, wellbeing, and collaboration, enabling data-driven decision making.

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Decision Support & Scenario Analysis

• Use causal data models to run What-if analyses (e.g., impact of fewer meetings, faster PR reviews) and understand potential tradeoffs.
• Explore scenarios like lead time changes, review pace, and resource allocation to optimize delivery.

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Core Features

• Benchmarking against 50,000+ active developer datasets
• Multi-source data fusion from engineering tools and collaboration platforms
• Four-layer statistical validation for robust metrics
• Health and well-being insights for developers (burden, focus time, burnout risk)
• Collaboration health analytics to gauge teamwork and information flow
• What-if scenario analysis with causal modeling to inform prioritization and planning
• Clear representations of how engineering decisions translate to outcomes
• Enterprise-ready with a global client base and data-driven storytelling