Quick answer: Another experiment may be worth running when its expected findings could materially inform the next technical or investment decision. If plausible outcomes would not meaningfully affect whether the business proceeds, changes direction or stops, further testing may have limited decision value. Technical uncertainty can justify investigation, but it does not mean that every remaining uncertainty needs to be resolved.
Technical Uncertainty Does Not Justify Unlimited Investigation
Research projects often begin with a legitimate technical question and a reasonable plan for investigating it.
As the work progresses, however, new questions often appear.
One experiment identifies a performance limitation.
Another produces a promising result but raises questions about operating conditions.
A subsequent test suggests that the technology could work with further modification.
Eventually, founders and engineering leaders face a different question:
Do we still need another experiment?
The existence of unresolved technical uncertainty does not answer that question by itself.
A business may be able to investigate an uncertainty scientifically while deciding that resolving it is no longer important enough to justify the additional time, cost or technical effort.
Research planning therefore involves two related but different judgements.
The technical judgement asks what remains unknown and whether an experiment could generate useful evidence about it.
The management judgement asks whether that additional evidence is important enough to the project's next decision to justify obtaining it.
Those judgements should inform each other without being treated as the same thing.
Ask What the Next Experiment Could Change
A useful way to assess another proposed experiment is to identify what decision still depends on its result.
Consider a company developing an alternative manufacturing process.
Initial experiments show that the process can achieve the required material properties under controlled conditions.
Production variability remains uncertain.
The research team proposes another investigation using more representative input materials.
That experiment may have clear value if different results would lead the business towards materially different next steps.
A favourable result might support moving to a more representative production trial.
An unfavourable result might indicate that the process requires redesign or that the pathway should no longer receive further investment.
In that case, the evidence can materially inform the next decision.
Now consider a different situation.
Several experiments have already demonstrated the same effect under the operating conditions relevant to the current decision. Another test would use almost identical conditions and would not materially change what management intends to do unless something highly unexpected occurs.
The experiment may still produce additional information.
But its incremental decision value may be small.
The relevant question is therefore not simply:
Can we learn something else?
In complex technical projects, the answer is almost always yes.
A more useful question is:
What important decision remains sensitive to the result of this experiment?
Distinguish Remaining Uncertainty From Decision-Relevant Uncertainty
Not every unanswered question needs to be resolved at the same stage of development.
Suppose an engineering team has established that a new component performs adequately across the conditions required for the next pilot.
There may still be unanswered questions about performance in more extreme environments that the product is not currently intended to enter.
Those questions may be technically legitimate.
But they may not block the present decision.
By contrast, uncertainty about whether the component remains stable under the normal variation expected during the pilot could directly affect whether proceeding is justified.
The difference is decision relevance.
This does not mean that commercially inconvenient questions should be ignored.
Nor does it mean that uncertainty disappears because management chooses not to investigate it.
The remaining uncertainty should still be acknowledged.
The question is whether resolving it now would materially improve the technical or commercial decision being made.
This distinction becomes especially important as experiments become more expensive.
A specialised facility, full-scale prototype, long-duration trial or external research engagement may provide stronger evidence than a smaller experiment.
But stronger evidence is not automatically worth obtaining if the additional confidence would not affect the next commitment.
Recognise When Additional Evidence Has Diminishing Value
Repeated testing can be useful where repeatability remains uncertain, where relevant operating variation has not yet been examined or where earlier evidence is inconclusive.
But additional experiments can also reach a point of diminishing value.
For example, a team may already have enough evidence to conclude that a mechanism operates consistently within the range required for the next engineering stage.
Another experiment under nearly identical conditions might slightly increase confidence without changing the technical conclusion.
At the same time, a different experiment that tests an unresolved boundary condition could materially change the project's understanding.
The number of experiments is therefore not the important measure.
The question is what uncertainty the next experiment addresses that the existing evidence does not.
This also prevents a common mistake: treating “more confidence” as an unlimited research objective.
Absolute certainty is rarely available in technical development.
At some point, management must decide whether the remaining uncertainty is acceptable for the next stage, requires another bounded investigation or makes the proposed pathway unattractive.
That is a decision about the evidence required for the next commitment, not a claim that every scientific question has been resolved.
A Decision to Stop Does Not Make the Earlier Research Unsuccessful
Stopping an experimental pathway can be a legitimate outcome of research.
A systematic investigation may establish that a proposed mechanism cannot achieve the required performance within the relevant constraints.
It may show that an improvement is technically possible but too narrow to justify the engineering effort required to implement it.
Or it may demonstrate that further investigation would address increasingly peripheral questions without materially changing the project's direction.
None of those outcomes means the earlier experiments lacked value.
The research may have done exactly what it was intended to do: reduce uncertainty sufficiently to support a reasoned decision.
Australian Government guidance expressly recognises that a core R&D activity does not need to produce a positive outcome. What matters for the R&DTI core-activity test is the nature of the activity and the experimental process, not whether the hypothesis ultimately succeeds. business.gov.au
The same principle is useful from a management perspective.
A technically credible conclusion that a pathway should not continue can prevent considerably more expensive work later.
Keep the R&DTI Question Separate From the Decision to Continue
The Australian R&D Tax Incentive does not require a business to continue experimenting simply because technical uncertainty remains.
Under the current rules, a core R&D activity must be conducted for the purpose of generating new knowledge and involve an outcome that cannot be known or determined in advance on the basis of current knowledge, information or experience.
That outcome must be determined through a systematic progression of work based on principles of established science, proceeding from hypothesis to experiment, observation and evaluation and leading to logical conclusions. 联邦立法登记处
Those criteria determine whether an activity may be a core R&D activity.
They do not determine whether conducting another eligible experiment is commercially worthwhile.
An activity can potentially satisfy the technical requirements of the R&DTI while management reasonably decides not to fund it.
Likewise, the fact that a project remains difficult or technically challenging does not by itself mean that every subsequent activity qualifies as core R&D.
Research decisions should therefore be made on their technical and business merits, while R&DTI treatment is assessed separately against the activities actually conducted.
Record Why the Research Continued — or Stopped
The reasoning behind the next experiment can be valuable project evidence.
Current R&DTI record-keeping guidance states that records should be created at the time the activity is conducted. It also says records should show relevant background research and what was done, how the work was performed, when it occurred and who carried it out. Experimental plans, trial-run records and test reports showing results and evaluation are examples of records that may demonstrate the systematic progression. business.gov.au
For research governance, the same records can help explain why another experiment was considered necessary.
A useful decision record may identify the evidence already available, the uncertainty that remains, why that uncertainty matters to the next decision and what the proposed experiment is expected to clarify.
If the project stops, the record can instead explain why the available evidence was considered sufficient to discontinue the pathway.
This is a practical management approach rather than a prescribed R&DTI decision-record format.
Its value is that the research history does not end with an unexplained final experiment or an undocumented decision to stop.
Conclusion
Almost every technically complex project can generate another question.
That does not mean every question needs another experiment.
The useful threshold is whether the additional evidence is likely to materially improve the technical or investment decision the business still needs to make.
Sometimes another experiment is necessary because an important uncertainty remains unresolved.
Sometimes a smaller or different experiment will provide more useful evidence.
And sometimes the existing evidence is already sufficient to proceed, redesign or stop without spending more simply to obtain additional confirmation.
A well-managed research programme does not maximise experimentation.
It runs the experiments that are still capable of changing what the organisation needs to know or do next.
Sources & Further Reading
Australian Government — Conducting core R&D activities for the R&D Tax Incentive
Australian Government — Record keeping for the R&D Tax Incentive
Federal Register of Legislation — Income Tax Assessment Act 1997, Division 355
Australian Government — Get help from a research service provider
Talk to Ignition Research if your business is deciding whether another experiment will materially improve an unresolved technical decision or simply add more evidence to a conclusion that is already sufficient for the next stage. As a Registered Research Service Provider, Ignition Research assists businesses with research question definition, experimental design, technical investigations and contemporaneous supporting records within its registered research fields.
RSP registration confirms that the provider has met the relevant registration requirements for its registered research fields. It does not constitute government endorsement of a project or guarantee R&DTI eligibility.
We do not determine R&DTI eligibility or provide tax advice. The R&D Tax Incentive is a self-assessment program, and companies remain responsible for assessing their activities, expenditure and circumstances and obtaining appropriate tax advice.
This article provides general information only and is not tax, legal or financial advice.
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