Service 10 / Research assurance

Critical experiment and replication design

Select the experiment most likely to resolve a costly technical decision, then test whether the finding reproduces.

Experimental design and replication

A research service at Envirotech Accelerator, founded by James Scott. The KRYOS Hypercube approach connects evidence, technical challenge, and the next test; each project defines its qualified reviewers and validation requirements.

The decision this service supports

Which feasible test could change the decision before more money is committed?

How the research moves

Examine. Compare. Test.

01
Challenge artifacts, causal attribution, model leakage, and alternative explanations where relevant.
02
Compare feasible experiments by expected decision value, uncertainty reduction, cost, and time.
03
Prespecify controls, replication, analysis, and decision criteria, then compare predictions with new results.

What the lab receives

A decision you
can examine.

Combines scientific challenge with an executable next-test plan focused on the decision at stake.

Ranked experiment options and rationale
Reproducible analysis plan and independent validation requirements
Decision record linking new results to advance, revise, or hold criteria

Acceptance boundary

Information-value estimates depend on stated assumptions. Better experiment selection must be demonstrated against a relevant baseline; no universal speedup is claimed.

Application in a research laboratory

Where this review fits.

Who it serves

Climate-tech R&D leads and laboratories with a specific unresolved development gate

Conflicting results, uncertain mechanism, failed replication, or competing next experiments

When it is useful

Conflicting results, a failed replication, or several competing experiments before a costly next step.

The comparison to establish

The lab’s original test plan and a relevant reference condition under the same practical budget and decision criteria.

What would test the conclusion

Compare with the original experiment plan under the same budget and independent assessment; track whether the test resolved the stated decision and whether the finding reproduced.

Laboratory and review responsibilities.

The laboratory would supply the agreed records, identify its project lead, and retain control of experiments and operational changes. The review would examine the evidence, record unresolved questions, and specify the next decision or test. Specialist calculations, testing, and independent review would be defined in the project scope.

This review would not replace:

A prediction that a preferred hypothesis will succeed, or laboratory execution that has not been separately arranged.

Plan scope, data handling, and project terms

Two ways a laboratory could apply this service

Potential pilot projects.

Hypothetical examples for planning a research review. They describe possible work, not completed engagements or reported results.

Potential pilot / 19Research assurance

Separating enzyme performance from assay artifacts

A carbon-capture laboratory investigating a promising enzyme-assisted result that has varied between runs.

Research stageConflicting bench results

The laboratory question

Which controlled comparison could determine whether the apparent improvement is real and process-relevant?

How the review could be applied

Compare competing explanations, including assay interference and batch effects.
Evaluate feasible independent measurements and replication designs.
Specify controls, analysis, and decision criteria before the next results are collected.

Evidence the lab would provide

Raw assay and process records, blanks, reference controls, and batch history
Calibration, normalization, analysis choices, and measurement uncertainty
The minimum relevant process effect and the next development decision

Proposed deliverable

A ranked experiment plan and a reproducible analysis specification.

Decision criteria

Advance the performance claim only if the independent comparison supports a relevant effect with the agreed repeatability. Otherwise, revise the assay or the claim.

View this example in the pilot library Use this example in a pilot brief

Potential pilot / 20Research assurance

Checking whether an electrochemical conversion result reproduces

An electrochemistry laboratory comparing a promising carbon-dioxide conversion result across runs or instruments.

Research stageBench validation and replication

The laboratory question

Which experiment could distinguish a reproducible process improvement from measurement or comparison errors?

How the review could be applied

Reconcile product and energy accounting on the same measurement basis.
Challenge differences in normalization, instrument response, operating history, and controls.
Prespecify an independent comparison with a clear analysis and replication plan.

Evidence the lab would provide

Raw electrical and product-analysis data, controls, calibration, and run history
Reported selectivity, energy accounting, material balances, and uncertainty
A consistent reference condition and the decision threshold

Proposed deliverable

A discrepancy register and a decision-focused replication plan.

Decision criteria

Advance only if the claimed improvement reproduces under the agreed comparison. Conversion efficiency alone would not establish net removal or whole-process climate benefit.

View this example in the pilot library Use this example in a pilot brief

Explore all 20 pilot examples

Build the pilot around your laboratory’s current research decision.

Prepare a pilot brief