Product & people
How do people complete a task today? Observation and prototypes help reveal interruptions, duplicate input and unclear handovers. Those findings become understandable requirements.
DEEPBURG / DIGITAL SCIENCEDigital Science
Digital Science
makes decisions testable.
We develop digital products from concrete questions. Tasks are investigated, assumptions are made explicit and technical possibilities are examined. Findings inform the next product decision.
Explore the methodOUR VIEW
Understand first. Model next. Build with purpose.
Digital Science connects systematic investigation with practical implementation. We explain what is known, what an assumption rests on and which uncertainties remain. That makes it possible to justify a feature, a data model or a technical choice.
A LEARNING LOOP
Four steps that repeat.
- 01
Question
Identify a concrete task and its users. What should change, and how would that change be recognized?
- 02
Hypothesis
Formulate a testable expectation. Which observation would contradict it?
- 03
Investigation
Choose an appropriate method: an interview, prototype, data analysis or technical experiment. Record what it can and cannot establish.
- 04
Decision
Document the findings and remaining uncertainty. Explain the next step and name the open question.
WHERE THE METHOD MATTERS
Technology follows the question.
Data & models
Which information represents which fact? We examine origin, meaning, freshness and missing values. Analyses and models have explicit assumptions and limits.
AI & automation
Which task can be supported, and how would an error be detected? We consider suitable data, evaluation criteria and the response to unreliable results. Human review and ways to intervene belong in the design.
Responsibility
Which data are needed, who may use them and for how long? Access, storage locations and ownership are planned. The applicable legal requirements must be established for the product.
Data need a purpose.
This website does not use tracking. For client products, we establish whether an analysis would help answer the question, which data it would need and who would be responsible. Measurement, privacy and any AI features are defined for the project.
A THOUGHT EXPERIMENT
One task. A change of device.
Someone plans a site inspection on desktop and continues it later on the move. A prototype could reveal which information and feedback they need for that transition.
- Question
- Can the person identify the open task and recognize which entries have already been saved on the second device?
- Investigation
- Walk through the device change with a concrete task: continue the work, save an edit without a connection and ask the person to explain its transfer state.
- Decision
- If the data state remains unclear, revise state indicators and feedback. If the task cannot continue, reconsider the required data and offline boundaries.
DEEPBURG DIGITAL SCIENCE / CONTACT
Which question shapes your product?
Describe your idea and the uncertainty you want to investigate first. We can use it to identify a useful starting point.