1. State the result and its intended purpose
Name the material, matrix, biological response, reportable result and unit, expected range, decision supported, laboratories, and routine operating conditions. For relative potency, also name the reference standard, comparison convention, and treatment of invalid or non-estimable results.
Write these choices as an analytical target profile. A release potency result, a development EC50, and a screening response can use similar curves while requiring different performance evidence.
2. Translate the intended use into requirements and risks
List what must be true for the result to support its decision: sample and reference preparation, plate controls, response range, data handling, model, suitability, precision, report content, and review. Then identify failures that could make the result wrong, misleading, or unavailable.
Use those risks to select relevant performance characteristics and study conditions. The exercise should explain why evidence is needed; it should not copy every possible characteristic into the plan.
| Performance question | Evidence to plan |
|---|---|
| Can the procedure distinguish the intended response? | Specificity and mechanism-relevant controls |
| Does it agree with an accepted value or comparison? | Accuracy using suitable reference, mixture, or orthogonal evidence |
| How much does it vary under defined conditions? | Repeatability and intermediate precision across relevant factors |
| Where does it perform acceptably? | Range supported jointly by accuracy, precision, and model behavior |
| Which small operating changes matter? | Robustness challenges around approved settings |
3. Approve the studies and decisions before execution
For each performance question, predefine the experimental unit, samples and levels, independent runs, factors, calculations, statistical method, missing-data and exclusion rules, acceptance criteria, responsibilities, and report outputs. Link every criterion to the requirement and risk it controls.
Separate validation criteria from routine system-suitability rules. Validation evidence establishes procedure performance across the study; suitability determines whether a particular run met its predefined operating conditions.
4. Execute the protocol and preserve the evidence path
Use the approved procedure and identified versions of methods, calculations, software, instruments, reagents, reference materials, and report templates. Retain source observations, derived values, analysis settings, plots, criteria outcomes, and reviewer actions so each reported conclusion can be reconstructed.
Record all planned runs, including invalid, failed, repeated, and excluded results. An unexplained replacement run can make the final summary look cleaner while weakening the evidence.
5. Resolve deviations before interpreting the study
Document what departed from the protocol, why it happened, which data or requirement it affects, the investigation and correction, and whether additional work is needed. Keep the original observation and the approved disposition together.
A deviation does not automatically invalidate the study. Its effect on the intended-use conclusion must be evaluated and approved rather than hidden through deletion or unplanned reanalysis.
6. Conclude against the intended use
Summarize each requirement, observed evidence, acceptance outcome, deviation effect, residual limitation, and final decision. State directly whether the analytical procedure is fit for the defined purpose and range, conditionally acceptable with named controls, or not supported by the study.
Define the controlled procedure version and the changes that require assessment, partial revalidation, or new evidence. Validation enters a lifecycle; the conclusion is not permission to change the assay or analysis without review.
Limits and responsibility boundary
Q2(R2) is a general framework, not a universal bioassay protocol or a source of fixed acceptance limits. The accountable laboratory selects, justifies, and approves the evidence appropriate to its procedure and regulatory context.
Provenarium can supply tested calculation controls and traceable records. The customer remains responsible for validating its analytical procedure and qualifying its configured workflow for intended use; no supplier document or software label makes that customer conclusion.
Frequently asked questions
Does Q2(R2) prescribe one set of bioassay acceptance limits?
No. It provides a general framework. Characteristics, designs, and criteria should be appropriate to the procedure’s intended purpose and scientifically justified.
Is a failed validation criterion the same as a protocol deviation?
No. A failed criterion is an observed study outcome. A deviation is a departure from the approved protocol. Both must be retained and assessed, but they answer different questions.