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Ignition Insights
One Good Result — Is It Enough to Scale?
A promising result can justify another test, not necessarily scale-up. Learn how repeatability strengthens the evidence behind a technical go/no-go decision.
Before You Approach a University Researcher, What Should You Already Know?
A university can add research depth, but the business should first define the technical problem, evidence gap, decision and collaboration boundaries.
When R&D Needs More Than One Specialist, Who Holds the Method?
Multi-provider R&D works only when one method connects the work. Learn how to keep hypotheses, evidence and decisions intact across specialists.
Can Production Data Become Experimental Evidence?
Production logs can support technical research when tied to a defined hypothesis, intervention and decision—not when they are simply routine monitoring.
If Your Key Engineer Leaves, Can the Research Continue?
Technical research should survive staff changes. Learn what records allow a new engineer to reconstruct the question, evidence and next research decision.
Your Supplier Says It Will Work — Is That Enough to Close the Technical Question?
Supplier specifications can narrow a technical question without resolving it. Learn when project-specific evidence may still be needed before implementation.
What Should Your Experiment Be Compared Against?
A technical result means little without the right comparison. Learn how to choose a baseline or control that makes an experiment interpretable.
Before You Run the Experiment, What Would Count as Success?
Predefining decision criteria helps teams interpret ambiguous results, avoid moving the goalposts and connect experiments to real engineering decisions.
Before You Bring in a University, What Should the Research Brief Contain?
A university partner can add expertise and facilities, but the research question, roles, evidence and decision logic should be defined before testing begins.