Data Rocks Logo. A vector depicting 4 abstract shapes, each in one colour: amber, orange, pink and purple, arrange to look like a mount at sunset. The white space in between the shapes forms a diamond shape. Under the vector illustration the name Data Rocks appears in all caps.

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Data Rocks Logo. A vector depicting 4 abstract shapes, each in one colour: amber, orange, pink and purple, arrange to look like a mount at sunset. The white space in between the shapes forms a diamond shape. Under the vector illustration the name Data Rocks appears in all caps.

contact

services

Data Rocks Logo. A vector depicting 4 abstract shapes, each in one colour: amber, orange, pink and purple, arrange to look like a mount at sunset. The white space in between the shapes forms a diamond shape. Under the vector illustration the name Data Rocks appears in all caps.

contact

services

the

data

design

manifesto

by data rocks

Good Data Design is Purposeful - Every decision, every visualisation, and every interaction is crafted intentionally, aiming to promote understanding.
Good Data Design is Clear - It seeks to make the complex understandable, reducing cognitive load and inviting exploration.
Good Data Design is Balanced - It seeks harmony between simplicity and complexity, functionality and aesthetics. It’s not about oversimplification, but about refining complexity to make it accessible.
Good Data Design is Inclusive - It is empathetic and respectful. It acknowledges diverse backgrounds, needs, abilities and respects the time, cognitive bandwidth, and emotional states of everyone interacting with it.
Good Data Design is Context Sensitive - No dashboard or report exists in isolation, they are part of a larger ecosystem - a narrative, a decision-making process, a workflow. It acknowledges this interconnectedness and designs for it, creating a seamless experience.
Good Data Design is Collaborative - It encourages engagement and invites multiple perspectives. It’s not a solitary endeavor, but a collective pursuit of understanding and insight.
Good Data Design Facilitates Action - It enables people to make informed choices and drive positive change. It serves as a guide, leading to discoveries, insights and actions.
Good Data Design is Responsible - It stands for fairness, accuracy, truth and privacy. It consciously avoids potential biases, champions transparency and is mindful of its societal impact.
Good Data Design Values Depth over Speed - Quality and understanding take precedence over haste. A thoughtful and attentive process leads to more meaningful and valuable outcomes.
Good Data Design is Humanistic - It strives to weave data with narrative, tell stories, and create experiences that resonate with people. It acknowledges that data is a human endeavour.
Good Data Design Promotes Learning - It understands that growth comes from exploration, trial, error, and refinement. It encourages curiosity and learning as a continuous effort over time.
Good Data Design is Adaptable - It anticipates change and evolves with people's needs and curiosity. it's a living entity that grows and matures over time.

the

data

design

manifesto

by data rocks

Good Data Design is Purposeful - Every decision, every visualisation, and every interaction is crafted intentionally, aiming to promote understanding.
Good Data Design is Clear - It seeks to make the complex understandable, reducing cognitive load and inviting exploration.
Good Data Design is Balanced - It seeks harmony between simplicity and complexity, functionality and aesthetics. It’s not about oversimplification, but about refining complexity to make it accessible.
Good Data Design is Inclusive - It is empathetic and respectful. It acknowledges diverse backgrounds, needs, abilities and respects the time, cognitive bandwidth, and emotional states of everyone interacting with it.
Good Data Design is Context Sensitive - No dashboard or report exists in isolation, they are part of a larger ecosystem - a narrative, a decision-making process, a workflow. It acknowledges this interconnectedness and designs for it, creating a seamless experience.
Good Data Design is Collaborative - It encourages engagement and invites multiple perspectives. It’s not a solitary endeavor, but a collective pursuit of understanding and insight.
Good Data Design Facilitates Action - It enables people to make informed choices and drive positive change. It serves as a guide, leading to discoveries, insights and actions.
Good Data Design is Responsible - It stands for fairness, accuracy, truth and privacy. It consciously avoids potential biases, champions transparency and is mindful of its societal impact.
Good Data Design Values Depth over Speed - Quality and understanding take precedence over haste. A thoughtful and attentive process leads to more meaningful and valuable outcomes.
Good Data Design is Humanistic - It strives to weave data with narrative, tell stories, and create experiences that resonate with people. It acknowledges that data is a human endeavour.
Good Data Design Promotes Learning - It understands that growth comes from exploration, trial, error, and refinement. It encourages curiosity and learning as a continuous effort over time.
Good Data Design is Adaptable - It anticipates change and evolves with people's needs and curiosity. it's a living entity that grows and matures over time.