Defining instrument requirements before requesting a quotation

Why this decision needs structure

A useful request for quotation starts with the measurement problem rather than a desired feature list. Users, procurement staff, and technical reviewers should convert the intended work into requirements that bidders can interpret in the same way.

This guide does not replace an official method, risk assessment, manufacturer instruction, or applicable regulation. Use the cited sources as a starting point, then adapt decisions to the application, laboratory capability, and local requirements. The intended output is a requirements record that can be reviewed, tested, and updated.

A practical decision framework

Testing purpose

Record methods, parameters, sample matrices, and the decisions that results must support. Treat this as a decision that can be verified, not a preference. Record the starting condition, acceptable value or limit, the person who confirms it, and the evidence required. Connect the decision to the method, safety, workload, and post-implementation work. Mark missing information as an open assumption so users, procurement, facilities, and suppliers do not interpret it differently.

Required performance

Record range, detection capability, precision, accuracy, selectivity, and analysis time. Begin with evidence from real work, then separate mandatory needs from features that merely add convenience. Examine the effect on results, time, user competence, space, utilities, and recurring cost. Each conclusion should have a source, an owner, and a verification method so that later changes can be reviewed without reopening the entire discussion.

Workload capacity

Record normal sample volume, peak demand, batch pattern, and turnaround target. Consider normal operation, peak demand, credible failures, and conditions after future change. An agreement that works in only one scenario is fragile. Use numbers where available, state units and tolerances, and retain the decision rationale. This helps the team distinguish risks that require control from features that do not create practical value.

Site conditions

Record space, power, temperature, humidity, ventilation, water, gas, network, and installation access. Treat this as a decision that can be verified, not a preference. Record the starting condition, acceptable value or limit, the person who confirms it, and the evidence required. Connect the decision to the method, safety, workload, and post-implementation work. Mark missing information as an open assumption so users, procurement, facilities, and suppliers do not interpret it differently.

User needs

Record operator skill, interface language, training, safety, and documentation. Begin with evidence from real work, then separate mandatory needs from features that merely add convenience. Examine the effect on results, time, user competence, space, utilities, and recurring cost. Each conclusion should have a source, an owner, and a verification method so that later changes can be reviewed without reopening the entire discussion.

Lifecycle support

Record installation, qualification, consumables, spare parts, maintenance, and response time. Consider normal operation, peak demand, credible failures, and conditions after future change. An agreement that works in only one scenario is fragile. Use numbers where available, state units and tolerances, and retain the decision rationale. This helps the team distinguish risks that require control from features that do not create practical value.

Applying the framework to real work

Consider two laboratories asking for equipment for routine analysis. One names only the instrument type; the other states sample matrices, concentration range, daily throughput, reporting limit, and room conditions. The second laboratory is more likely to receive proposals that can be compared meaningfully. Use a case like this in a short working session with users, method owners, facilities, safety, procurement, and technical support. Put known data beside open questions. This allows different expectations to be resolved before they become quotation revisions, rework, or downtime.

Maintain one decision table with requirement, rationale, evidence, acceptance limit, owner, and status. Do not combine facts, assumptions, and preferences in one sentence. When new information appears, update the relevant row and note its effect elsewhere. This simple discipline makes evaluation transparent and reduces dependence on meeting memory.

Mistakes to avoid

• Starting with a product name or feature list before agreeing the purpose and performance boundary.
• Using words such as good, complete, fast, or suitable without an acceptance measure.
• Ignoring user work, site conditions, recurring materials, documentation, and support after installation.
• Leaving decisions in conversation without a controlled document, owner, and review date.

Action checklist

• Methods and sample matrices are listed
• Performance targets have values or acceptance limits
• Normal and peak workload are estimated
• Room and utility conditions have been checked
• Training and documentation needs are stated
• Consumables and technical support are considered
• Post-installation acceptance criteria are agreed

Bringing the decision together

A strong decision record need not be long, but it should connect the requirement, risk, evidence, and acceptance method. Start with the laboratory work, involve the right roles, and use data to narrow the options. When conditions change, revisit the documented rationale and limits rather than repeating an earlier choice by habit.

Implementation note

Before approval, arrange a cross-review by someone who did not prepare the first draft. Ask the reviewer to find missing units, limits that cannot be tested, terms with more than one interpretation, and dependencies without owners. Confirm that the requirement still matches the current method, workload, building conditions, user capability, and safety policy. Record the review outcome and next review date so the document remains active. If a change affects result quality or risk, reassess it before work continues.

Sources

1. Selection of basic laboratory equipment for laboratories with limited resourcesWorld Health Organization
2. Guidance for procurement of in vitro diagnostics and related laboratory items and equipmentWorld Health Organization
3. ISO/IEC 17025:2017 - General requirements for the competence of testing and calibration laboratoriesInternational Organization for Standardization