Goals
Unifying data sources • Enhancing team visibility • Enabling data-driven decisions • Improving developer productivity
1 People
Members
2 Months
Duration
Used stacks
Airbyte
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Google Big Query
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Looker Studio
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Background Story
The journey began with a simple observation: software development teams often lacked clear, actionable insights into their performance. Metrics such as code quality, commit frequency, and collaboration effectiveness were scattered across multiple tools, making it difficult to gain a holistic view.
Managers struggled to identify bottlenecks or areas for improvement, and developers found it challenging to track their progress objectively.
Recognizing this gap, we set out to build a Developer Performance Dashboard to empower teams with the data they need to thrive.
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Goals
The primary goal was to consolidate data from various sources, such as version control systems and issue tracking software, enabling engineering leaders, managers, and teams to achieve greater visibility and drive continuous improvement.
It aims to ensure alignment with strategic initiatives by focusing on business outcomes, such as prioritizing the right objectives and tracking progress effectively.
The tool also addresses developer productivity by highlighting obstacles that impede the delivery of high-quality software. Additionally, it enhances developer experience by evaluating whether teams have the necessary tools and support to maintain a positive and motivated work environment.
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Process
Data Acquisition & Exploration: Gathered data from various sources, ensuring the completeness and accuracy of the datasets. Throughout this phase and beyond, significant effort was dedicated to unifying business processes. Collaborations with departments such as project management and QA were essential to standardize workflows, ensuring cohesive integration and alignment across diverse teams.
Data Architecture Design: Developed a scalable architecture to store, process, and manage the data efficiently while ensuring security and compliance.
Data Transformation: Processed and transformed raw data into meaningful metrics and insights through cleaning, normalization, and aggregation.
Report Development: Designed and implemented user-friendly dashboards and reports, delivering actionable insights tailored to the needs of different stakeholders.
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Challenges
Data Integration: Bringing together data from disparate systems with varied APIs and data formats required effort and expertise.
Defining Metrics: Identifying meaningful and unbiased metrics that accurately reflect performance without encouraging counterproductive behavior was a delicate task.
Unifying Business Processes: Standardizing and aligning diverse business workflows to enable seamless integration and a consistent approach across teams.
Outcome
The launch of the Developer Performance Dashboard marked a significant milestone in improving software development processes. Teams reported enhanced efficiency as bottlenecks became easier to identify and address. Developers appreciated the actionable insights, using them to monitor their growth and contributions effectively. Managers benefited from the ability to make informed, data-driven decisions, leading to optimized resource allocation and better project outcomes.
Summary
The Developer Performance Dashboard fosters transparency and continuous improvement by providing clear and actionable insights, addressing a critical need in software development. The project overcame challenges in data integration, metric formulation, and adoption through collaboration and iterative design.