Better need better delivery.
At Studio Graphene, data-driven delivery combines the experience and judgement of our teams with real-world delivery data, helping us make better decisions, continuously improve how we work and deliver better AI-native digital products.
Great AI-native product delivery is about more than moving quickly. It means balancing speed with quality, security and efficiency, while giving product and engineering teams the environment they need to do their best work.
Our delivery teams work across the product lifecycle to keep people aligned, remove friction and adapt as products evolve, using experience and evidence to make better decisions along the way.
To make those decisions better informed, we developed Pulse, Studio Graphene’s in-house delivery intelligence platform. It brings together delivery metrics, developer experience and data from the tools our teams already use to create a clearer picture of how delivery is performing.
By turning that data into meaningful insights, we can identify bottlenecks and opportunities, take targeted action and measure whether the changes we make are actually improving delivery.
Our data-driven delivery approach
Understand delivery performance
Good delivery starts with understanding what’s actually happening. We bring together standardised metrics across the product development lifecycle to give our teams visibility into quality, throughput, security and efficiency.
Pulse combines data from tools including Jira and GitHub with developer experience insights and security signals, helping us see patterns and bottlenecks that can be difficult to identify when information sits across different systems.
Identify what needs improving
Data is only useful if it helps us make better decisions. We use delivery insights to understand where teams are working effectively, where friction is slowing progress and where changes could have the greatest impact.
Rather than optimising individual metrics in isolation, we look at delivery as a whole, balancing speed, quality, security and efficiency to identify improvements that support better product outcomes.
Turn insight into action
Understanding a problem is only the beginning. Once we’ve identified an opportunity, we can make targeted changes to workflows, processes and ways of working, from focused workshops to changes in how teams collaborate and deliver.
Pulse then allows us to track what happens next, comparing performance over time to understand whether an intervention has made a measurable difference and where further improvement is needed.
Improve developer experience
How developers experience delivery has a direct impact on how effectively teams can build AI-native products. We combine regular developer feedback with delivery data to understand the factors helping or hindering engineering teams.
These insights help us improve processes, tools and team practices, removing unnecessary friction and creating an environment where developers can focus more of their time on building high-quality products.
Access delivery insights
Pulse makes delivery intelligence easier to access, including through AI tools that allow our teams to explore performance and ask questions about delivery using natural language.
By combining delivery metrics with wider project context, product and engineering teams can understand what’s changing, where attention is needed and how delivery is evolving, creating a continuous cycle of insight, action and improvement.
Our data-driven delivery
Understand delivery performance
Good delivery starts with understanding what’s actually happening. We bring together standardised metrics across the product development lifecycle to give our teams visibility into quality, throughput, security and efficiency.
Pulse combines data from tools including Jira and GitHub with developer experience insights and security signals, helping us see patterns and bottlenecks that can be difficult to identify when information sits across different systems.
Identify what needs improving
Data is only useful if it helps us make better decisions. We use delivery insights to understand where teams are working effectively, where friction is slowing progress and where changes could have the greatest impact.
Rather than optimising individual metrics in isolation, we look at delivery as a whole, balancing speed, quality, security and efficiency to identify improvements that support better product outcomes.
Turn insight into action
Understanding a problem is only the beginning. Once we’ve identified an opportunity, we can make targeted changes to workflows, processes and ways of working, from focused workshops to changes in how teams collaborate and deliver.
Pulse then allows us to track what happens next, comparing performance over time to understand whether an intervention has made a measurable difference and where further improvement is needed.
Improve developer experience
How developers experience delivery has a direct impact on how effectively teams can build AI-native products. We combine regular developer feedback with delivery data to understand the factors helping or hindering engineering teams.
These insights help us improve processes, tools and team practices, removing unnecessary friction and creating an environment where developers can focus more of their time on building high-quality products.
Access delivery insights
Pulse makes delivery intelligence easier to access, including through AI tools that allow our teams to explore performance and ask questions about delivery using natural language.
By combining delivery metrics with wider project context, product and engineering teams can understand what’s changing, where attention is needed and how delivery is evolving, creating a continuous cycle of insight, action and improvement.
