The question is too open-ended
Exploration lacks a specific decision, hypothesis, constraint, timebox, or definition of useful evidence.
19 · Floatger service
Research & development (R&D)
We investigate emerging or technically uncertain opportunities through focused research, prototypes, experiments, and documented evidence that supports a clear next decision.
The context
When this service becomes valuable.
Reduce uncertainty before committing to a difficult product or technology direction. The right starting point is a shared understanding of the problem—not a predetermined feature list.
A demonstration hides production risk
A prototype proves one happy path without examining data, scale, security, reliability, cost, integration, or operating needs.
Learning is lost after the experiment
Assumptions, failed approaches, evidence, limitations, and next decisions are not documented for the people who follow.
What the work may include
Connected capabilities, shaped around the engagement.
The exact mix is agreed after understanding your current situation, priorities, and constraints.
01
Research framing
Turn uncertainty into explicit questions, hypotheses, constraints, evaluation criteria, and a bounded investigation plan.
02
Technical investigation
Review relevant approaches, platforms, standards, prior art, dependencies, and feasibility within the available evidence.
03
Prototype and experiment
Build only enough to test the highest-risk assumptions under representative scenarios and measurable criteria.
04
Decision and transition
Document results, limitations, reusable assets, production gaps, recommendations, and the next sensible stage.
Potential outputs
Tangible progress your team can use.
Outputs depend on the scope and stage of the engagement. They are agreed before delivery begins and refined as the work becomes clearer.
- 01A research brief with questions, hypotheses, constraints, and decision criteria
- 02Technical findings with sources, assumptions, options, and trade-offs
- 03A focused prototype, experiment, benchmark, or technical spike
- 04An evidence report with limitations, production gaps, and recommended next actions
Planning the engagement
Make the inputs, evidence, and boundaries clear.
Useful delivery starts with the right context and an agreed way to evaluate progress—not an assumption that every possible concern belongs in scope.
What we need to understand
- The opportunity, decision, uncertainty, users, and business relevance
- Known constraints, existing evidence, representative scenarios, data, and access
- Technical, security, legal, cost, performance, integration, and operating considerations
- Stakeholders who can review evidence and make the resulting product or investment decision
How progress can be evaluated
- The investigation answers a defined decision question within its stated limits
- Evidence distinguishes demonstrated behaviour from assumptions and production readiness
- Stakeholders can choose a next step, change direction, or stop with clearer reasoning
Important scope boundary
R&D is intended to create learning, not a production commitment or guaranteed result. Prototype code may require substantial redesign, assurance, testing, documentation, and operational work before it is suitable for live use.
Delivery path
From context to a practical next stage.
Each stage creates enough clarity for the decisions that follow, while keeping the process proportionate to the work.
Question
Define the decision, hypothesis, constraints, evidence, and stop conditions.
Investigate
Research relevant approaches and narrow the most useful experiment.
Experiment
Build, measure, compare, and record results under representative conditions.
Decide
Explain findings, limitations, production gaps, and the recommended next action.
Engagement shape
Start at the point that matches the challenge.
Research sprint
Investigate a bounded technical or product question and document the available evidence and options.
Prototype and feasibility study
Build a focused experiment around the highest-risk assumptions and evaluate it against agreed criteria.
R&D to delivery transition
Turn useful findings into production requirements, architecture, risks, estimates, and a practical implementation stage.
Service questions
Useful things to clarify.
Is an R&D prototype production-ready?+
Usually not. It is designed to answer specific questions efficiently. Production use may require different architecture, quality, security, performance, accessibility, documentation, and operating work.
Can R&D produce a negative recommendation?+
Yes. Evidence that an approach is unsuitable can prevent a larger and riskier investment. The value is a clearer decision, not a predetermined build outcome.
How long should an investigation run?+
It should be bounded by the decision, uncertainty, evidence, and cost of further learning. We define review points and stop conditions rather than treating exploration as open-ended.
Who owns intellectual property from the work?+
Ownership, pre-existing materials, third-party licences, confidential information, and usage rights are defined in the written engagement before work begins.
Can you continue into implementation?+
Yes, where the evidence supports it and the work fits our delivery capabilities. Production delivery is scoped separately using the findings and identified gaps.
Start a conversation
Let's discuss research & development.
Share the context, current state, and what you need to move forward. We will help identify a sensible starting point.