Quick Lab Snapshot

• To start, how would you summarize your lab's primary testing mission and typical monthly sample volume? Options: Small research throughput (<500 samples/month), Medium throughput (500–5,000 samples/month), High throughput (>5,000 samples/month), Variable seasonally, Unsure / mixed sites
• Tell me about the three assay families you run most often and any instruments or robotics that each depends on.
• How many analysts regularly touch sample records from registration through COA generation on a typical day? Options: 1–5, 6–15, 16–50, 50+, Varies by shift/site
• Who within your organization formally owns data integrity, and how do they get alerted to issues today? Options: Lab director, Quality manager, IT lead, Shared responsibility, No single owner identified
• Describe a recent day when sample throughput felt smooth, what processes or tools made that possible?
• Which regulatory frameworks apply to your lab right now, for example 21 CFR Part 11, EU Annex 11, or ISO 17025? Options: 21 CFR Part 11, EU Annex 11, ISO 17025, GLP/GMP without specific annex, Other / combination

Where the Current System Really Breaks

• Imagine an inspector asked for a sample's complete audit trail tomorrow, which part of that record would you expect them to question first?
• Walk me through the last time a result was corrected or reentered, what triggered the correction and how was root cause identified?
• When your instrument data and lab records diverge, how long does it typically take to reconcile and who does that work? Options: Hours, 1–2 days, 3–7 days, >1 week, Unknown
• Point to the recurring manual step that consumes the most analyst time during sample registration to COA issuance. Options: Manual data re-entry, COA assembly, Result calculations, Specification checks, Paper approvals
• List the failure modes that most often lead to delayed release or rejected COAs in your lab. Options: Missing signature, Out-of-spec result, Instrument data mismatch, Incorrect sample ID, Other
• Do you currently have a single incident that, if repeated, would push leadership to replace the system immediately? Options: Yes - data integrity incident, Yes - prolonged downtime, Yes - failed inspection, No single incident identified, Unsure

Behind the Screens, Data, and Integrations

• Name the single integration or lack of integration that forces duplicate entry in your lab today.
• Suppose you had to map every system that needs to talk to a LIMS, which of these apply in your environment? Options: Instrument consoles / CDS, Electronic lab notebook (ELN), Quality management system, ERP or MES, Inventory system, LIS or other LIMS, Other
• Identify the role or team that will provide API credentials, test accounts, and integration support during implementation. Options: Lab informatics, IT/Network, Instrument vendor, Quality, Shared responsibility, Not yet assigned
• Should instrument connections require bespoke connectors, are there models or drivers already available for your key instruments? Options: Standard drivers available, Vendor can provide connectors, We have custom drivers, No drivers available, Unknown
• Is there a realistic window when instruments can be taken offline for integration testing without affecting critical production? Options: Night shifts only, Specific planned weeks, Flexible with notice, Not possible, Unsure
• If integration scheduling required two months of vendor or vendor-coordinated time, what would most likely block you from committing that time? Options: Conflicting production demands, Vendor availability, Budget constraints, Regulatory freeze, Nothing would block it

Validation and Compliance Pressure Points

• Reflect on your last validation, which phase consumed the most calendar time and why did it take so long?
• Specify approximately how many SOPs, test scripts, and traceability artifacts will need revision for a LIMS change. Options: Less than 10, 10–25, 26–50, 51–100, More than 100, Unsure
• Outline any recent observations from auditors related to electronic records, signatures, or user access that you are still addressing.
• Share who will act as the validation owner and which qualified persons will approve protocols and reports.
• Estimate what evidence your QA team would accept to minimize additional onsite testing, for example signed IQ/OQ/PQ, test logs, or runbooks. Options: Fully signed IQ/OQ/PQ, Vendor-provided scripts with witness, Test logs from our environment, Traceability matrix only, Other
• Confirm whether your validation schedule has hard blackout dates that would push go-live beyond your target if missed. Options: Yes, fixed blackout dates, Some limited blackout dates, No hard blackout dates, Unsure

People, Process, and the Human Side of Change

• Rank the groups most likely to resist a workflow change, and describe the routines they consider non-negotiable. Options: Analysts / bench staff, QA reviewers, Lab managers, IT support, No strong resistance expected
• Provide an overview of your current approach to training and how competency is measured after a process change.
• Explain which user roles must retain signing privileges for review and release, and whether electronic signatures are already in use. Options: Analyst, Reviewer, Approver/QA, Lab manager, IT (for system tasks), Electronic signatures not used
• Recall a deployment your team found genuinely difficult, what made adoption stall and how did leadership respond?
• Capture the non-technical concerns—timing, workload, or morale—that matter most to leadership during a LIMS change.
• State who would be the named change champion and the alternate who could step in if that person is unavailable. Options: Name and role to be provided, Change champion assigned but alternate not named, No champion assigned yet

Operational Readiness and Hard Constraints

• Indicate the single infrastructure gap that would prevent the deployment team from executing the integration plan as scheduled. Options: Network access to instruments, Lack of test environment, Insufficient user licenses, No validation window, Other
• Offer which environments you can provision for configuration and validation, for example test, UAT, or production staging. Options: Development / sandbox, Test, UAT, Staging, Production read-only, None available
• Detail how network and access control to instruments and consoles are managed and who must approve firewall or VPN changes.
• Note who holds instrument maintenance contracts and firmware change authority, internal teams or third parties? Options: Internal instruments team, Vendor-managed, Mixed by instrument, Unknown
• Project the internal resource commitment you can guarantee during deployment, for example analyst hours per week or FTEs. Options: <5 hours/week, 5–20 hours/week, 0.25 FTE, 0.5 FTE, 1+ FTE, To be determined
• Quantify your current data readiness for migration, are records consistent, labeled, and owned by someone who can release them? Options: Ready and owner assigned, Mostly ready with cleanup, Significant cleanup needed, Ownership unclear, Not applicable

Competitive Landscape and Alternatives on the Table

• Clarify what would have to be true about your current system for you to keep it rather than move forward with a replacement.
• Who are the main options on your shortlist right now, including the incumbent or any internal build effort?
• Compare the strengths you see in each alternative against the risks that worry you about them.
• Agree whether anyone inside the organization has proposed building or maintaining this capability internally and what the proposed headcount would be. Options: Yes, internal build proposed, No internal build proposed, Under discussion, no details yet, Unsure
• Commit to the one competitive advantage that a vendor must demonstrate to win your business this year. Options: Clear validation deliverables, Proven instrument integrations, Faster time to value, Lower total cost, Strong support and SLA

Success Criteria, Decision Triggers, and Next Steps

• Select the single measurable outcome that would make your leadership sign within 30 days after a successful pilot. Options: X% reduction in manual entry time, Y% increase in throughput, Zero data integrity findings in test, Validated instrument integrations, Other measurable KPI
• Calculate how you will measure improvements in throughput, error rate, or time to COA during a pilot and who will own those metrics.
• Account for the stakeholders who must sign acceptance and the acceptance criteria each will require for go-live.
• Assign a realistic target window for a pilot test and a target go-live if the pilot meets success criteria. Options: Pilot within 4 weeks, go-live within 8 weeks, Pilot within 8 weeks, go-live within 16 weeks, Pilot in 3 months, go-live in 6 months, Timeline undecided
• Indicate the single deal killer risk we should resolve now to avoid a later surprise, for example lack of validation window or no instrument access.
• Confirm the next concrete step you want from the seller to keep momentum, for example a targeted demo, a validation plan draft, or a scoped pilot proposal. Options: Targeted demo with workflows, Draft validation plan (IQ/OQ/PQ), Scoped pilot proposal with costs, Technical integration assessment, Other

• Solution Experience Session

• Confirm the current state and its cost
• You confirm the demonstrated workflows eliminate the duplicate entry and manual COA generation costs you described.
• Deliver a recorded run of your representative sample dataset through registration, instrument capture, review, and COA generation within three business days.
• You agree the demonstrated controls meet your data integrity expectations for audit trail and electronic signatures.
• Run your sample registration and instrument capture
• Provide a representative sample dataset, a list of instruments with connection details, and your COA template with acceptance criteria before the follow up.
• Demonstrate review, approval, and COA generation
• You identify any remaining gaps and list the evidence needed to approve moving to solution scope and validation planning.
• Schedule a follow up session to review any gaps and agree on scope and validation deliverables.
• Validate compliance controls and audit trail
• Confirm the future state

• Solution Experience Session
• Solution Experience Deck
• Solution Brief

• meeting
• slides
• document

• Configure Sample Registration and Barcode Tracking
• Set Up Test Assignment and Workflow Automation
• Configure Test Methods and Calculation Rules
• Instrument Integration and Data Acquisition Connectors
• Result Entry, Specification Checking, and Calculations
• Result Review and Electronic Signature Workflows
• Certificate of Analysis Template and Generation
• Stability Study Setup and Scheduling
• Role-Based Security and Audit Trail Configuration
• Data Migration from Legacy LIMS and Spreadsheets
• Deliver IQ/OQ/PQ Validation Packages
• Analyst Training and SOP Adoption Sessions
• Barcode Label Design and Printing Integration
• Regulatory Reporting and Export Template Delivery

Configure Sample Registration and Barcode Tracking

• Do you have existing accessioning rules that must be enforced at sample registration (for example required fields, sample ID patterns, or sample custody notes)? Options: Yes, No
• Which barcode symbology does your lab require for sample and vial labels (for example Code 128, QR, Data Matrix, GS1-128)? Options: Code 128, QR, Data Matrix, GS1-128, Other
• How many distinct sample types will you configure (for example raw material, in-process, finished product, stability aliquot)? Options: 1-5, 6-20, 21-100, More than 100
• What minimum metadata fields must you capture on registration (for example lot number, collection date/time, sampler, matrix, storage condition)?
• Who in your organization will own approval of sample registration SOPs and label templates? Options: Lab director, Quality manager, Lab IT lead, Named individual(s)

Set Up Test Assignment and Workflow Automation

• Do you want tests assigned automatically by rule (for example by sample type or test panel) or assigned manually by analysts? Options: Automatic by sample type/rules, Manual by analyst, Hybrid (both)
• Which routing rules do you require to move samples between queues (for example based on analyte, priority, stability schedule, or out-of-spec flags)?
• How many parallel workflow branches will you run per sample (for example chemistry, microbiology, stability arms)? Options: 1, 2, 3-5, 6+
• What notification triggers do you require (for example sample received, test complete, reviewer assignment, COA ready)? Options: Sample received, Result posted, Review pending, COA generated, Other
• Who in your team will own workflow change approvals and sign-off for automation rule updates? Options: Lab director, Quality manager, Lab operations lead, Named individual(s)

Configure Test Methods and Calculation Rules

• Which analytical methods must you configure with method IDs and compendial references (for example assay method ID, USP/EP reference)?
• For which methods do you require automated calculation scripts (for example potency, assay percent, impurity percentage, recovery)?
• Describe the acceptance and specification logic you need encoded per method (for example single numeric range, conditional acceptance by batch size, matrix-dependent limits).
• Which units of measure and conversion rules must you enforce for result normalization (for example mg/mL to %w/w, dilution factors)?
• Do you require method version control and electronic signature on method changes to meet your quality system requirements? Options: Yes, No

Instrument Integration and Data Acquisition Connectors

• Which instruments do you need integrated (list make/model and communication protocol such as RS-232, LAN, REST API, CSV output)?
• Are instrument results in your lab currently captured electronically or transcribed from printed reports? Options: Electronic output (DLL/API/CSV), Printed reports transcribed manually, Mixed
• Do you require real-time instrument pushes into LIMS or are batched imports acceptable for certain devices? Options: Real-time push, Batched import, Device-dependent
• How many unique connector types should you expect to implement (for example chromatograph LAN connector, mass spec file parser, CSV import jobs)? Options: 1-5, 6-15, 16-30, More than 30
• What network or firewall constraints will affect instrument communications (for example VLANs, fixed IPs, restricted outbound ports)?

Result Entry, Specification Checking, and Calculations

• How do your analysts enter results today (for example manual entry, instrument push, CSV upload)? Options: Manual entry, Instrument push, CSV/upload, Mixed
• Which specification checks should block release automatically versus only flag for review (for example hard fail for assay outside spec vs soft flag for trending)? Options: Block release automatically, Flag for review, Custom per test
• What rounding and significant-figure rules must you enforce for published results (for example 3 significant digits, round half up)?
• Which calculation examples or formulae must be validated during operational qualification and performance qualification (for example potency calculation with dilution factors)?
• Who in your lab will own formal approval for calculation rule changes and their validation evidence? Options: Quality manager, Method owner, Lab director, Named individual(s)

Result Review and Electronic Signature Workflows

• What reviewer roles do you require for result approval to align with 21 CFR Part 11 (for example analyst, supervisor, QA approver)? Options: Analyst, Supervisor, QA approver, Other
• Are multi-step electronic signature chains required in your workflows (for example signed by analyst, then supervisor, then QA), or do you need conditional signing paths? Options: Yes - fixed chain, Conditional chain, No
• How should you define concurrency limits on reviewer queues (for example maximum pending reviews per reviewer before escalation)?
• Which signature metadata must you capture with each electronic signature in your environment (for example reason, timestamp, operator ID, workstation ID)? Options: Reason required, Timestamp auto-capture, Workstation/operator ID, Other
• Which users in your lab need delegated signature authority for emergency or authorized delegation scenarios?

Certificate of Analysis Template and Generation

• Which COA sections must you include on every certificate (for example sample ID, test results, specifications, analyst and QA signatures)? Options: Sample ID, Test results, Specifications, Analyst signature, QA signature, Stability note
• Do you require batch-level COAs, lot-level COAs, or both, and should they include linked stability timepoint summaries? Options: Batch-level, Lot-level, Both
• What PDF formatting and print constraints must you enforce for COA templates (for example page size, logo placement, pagination, font embedding)?
• Do your COAs require electronic signatures and audit trail entries that must be demonstrable for regulator inspections? Options: Yes, No
• What acceptance criteria will you use to confirm COA generation is correct and complete (for example 100% required fields populated, correct signature chain, correct PDF layout)?

Stability Study Setup and Scheduling

• What stability study protocols and timepoints must you configure (for example 0, 1, 3, 6, 12 months or custom accelerated schedules)?
• Which storage condition metadata must you capture for stability samples (for example temperature, humidity, chamber ID, position)? Options: Temperature, Humidity, Chamber ID, Position/location, Other
• How many active stability studies do you plan to manage at go-live? Options: 1-5, 6-20, 21-50, More than 50
• How should you automate sample pulls, retest scheduling, and notifications for stability timepoints?
• Which trend reports or charts do you require to monitor stability data over time (for example potency vs time, specification drift)?

Role-Based Security and Audit Trail Configuration

• How many distinct role templates do you require (for example analyst, reviewer, QA, lab manager, IT admin)? Options: 1-3, 4-6, 7-10, More than 10
• Which actions must be restricted by role in your system (for example edit methods, approve COA, change results, modify mappings)?
• Specify the password and session control settings you require to meet your compliance framework (for example password complexity, forced change interval, session timeout). Options: Standard, Enhanced, Custom
• Are audit trail retention periods defined by your quality system and what durations do you require (for example 7 years, 15 years)? Options: Less than 7 years, 7 years, 10 years, 15 years, Custom
• Who in your organization will own periodic audit trail reviews and at what frequency (for example monthly, quarterly, annually)?

Data Migration from Legacy LIMS and Spreadsheets

• How many legacy records do you plan to migrate from your current LIMS and spreadsheets (for example sample records, test results, methods)? Options: Less than 10k, 10k-50k, 50k-250k, More than 250k
• Which data sources will you include in migration (for example legacy LIMS exports, instrument CSVs, Excel workbooks, database dumps)? Options: Legacy LIMS exports, Instrument CSVs, Excel spreadsheets, Database exports, Other
• Specify the acceptable migration completeness and accuracy thresholds you require (for example 99.5% mapped fields, zero mismatched key identifiers).
• What data cleansing rules must you apply during migration (for example duplicate removal, unit normalization, date format standardization)?
• What evidence will you accept to validate migrated result integrity during IQ/OQ/PQ (for example record counts reconciliation, spot-check sample list, checksum or hash comparisons)?

Deliver IQ/OQ/PQ Validation Packages

• Which validation deliverables do you require in the IQ/OQ/PQ packages (for example traced requirement matrix, test scripts, execution logs, deviation records)? Options: Requirements traceability matrix, OQ test scripts, PQ test scripts, Execution logs, Deviation records
• What lab-specific PQ test cases must you include (for example end-to-end COA generation, instrument integration round-trip, method calculation reconciliation)?
• Which regulatory standards do you require validation documents to map to (for example 21 CFR Part 11, EU Annex 11, ISO 17025)? Options: 21 CFR Part 11, EU Annex 11, ISO 17025, Other
• What environment names and endpoints will you provide for IQ/OQ/PQ runs (for example test/staging URLs, database instances)?
• What acceptance criteria will you use to confirm IQ/OQ/PQ completion (for example pass/fail thresholds, allowed defects, signed test evidence)?

Analyst Training and SOP Adoption Sessions

• How many analysts and technical staff do you expect to train on configured workflows at go-live? Options: 1-5, 6-20, 21-50, More than 50
• Which SOPs must you update to reflect new LIMS procedures (please list SOP IDs or titles)?
• What training formats do you prefer for analyst onboarding (for example hands-on workshops, recorded videos, train-the-trainer)? Options: Hands-on workshops, Recorded videos, Train-the-trainer, Blended
• How will you measure training effectiveness (for example competency tests, observed runs, signed training records)? Options: Competency tests, Observed practical runs, Signed training records, Other
• Who in your organization will serve as named super-users or trainers to support adoption?

• Master Services Agreement (MSA)
• Statement of Work (SOW)
• Subscription Order Form
• Validation Responsibilities and Acceptance Plan
• Data Processing Agreement (DPA)
• Regulatory Compliance Addendum (21 CFR Part 11 / EU Annex 11 / ISO 17025)
• Service Level Agreement (SLA)
• Change Order Agreement

• Go-live Health Check (weeks 1-4)
• First Measurement Review (weeks 4-10)
• Acceptance Gate and Formal Acceptance (around day 90)
• Quarterly Operational Review

• Publish the quarter summary showing instrument integration uptime and ticket close-time trends to the shared workspace.
• Prepare the outcome dataset and evidence pack to present at the Acceptance Gate meeting.
• Restate acceptance criteria and numeric targets
• Formal acceptance decision is documented per acceptance criterion recorded in Solution Scope, with named signatory or buyer owner recorded where required.
• Any failed criteria have a concrete remediation plan and re-test timeline.
• Incumbent system is either decommissioned or documented as retained-read-only with archival actions recorded, if applicable.
• Publish the acceptance decision and outcome evidence pack to the shared workspace.
• Create remediation tickets for any failed acceptance criteria with target re-test dates.
• Execute the documented incumbent decommissioning or archival steps and confirm completion in writing.
• Operational metrics and trend review
• Confirm integrations uptime meets the operational target recorded in Solution Scope or document corrective actions when it does not.
• Reduce the backlog of high-priority operational tickets and agree target close dates for remaining items.
• Agree a prioritized list of enhancement requests with acceptance criteria for the next quarter.
• Open or update tickets for the prioritized enhancements and remediation items with acceptance criteria and target dates.
• Prepare the compliance documentation package required for the next audit window and share with the buyer's quality lead.
• Re-confirm success criteria and owners
• All deployment validation checks required for initial use are confirmed as passed or have a documented remediation plan.
• Top open issues are triaged with owners and target resolution dates recorded.
• A single point of contact is confirmed for hypercare coordination and status updates.
• Distribute the go-live validation checklist with pass/fail status and remediation items.
• Log and assign high-priority defects in the ticketing system with target resolution dates.
• Schedule the First Measurement Review meeting within the agreed 4-10 week window.
• Present first metric results versus Solution Scope targets
• Confirm whether the two named metrics are tracking toward their numeric targets recorded in Solution Scope.
• Agree a timebound corrective action plan for each off-target metric with clear deliverables.
• Validate the timeline and prerequisites for the Acceptance Gate meeting.
• Implement the agreed corrective actions for integrations or workflows and report interim progress weekly.
• Publish a short root-cause analysis for any off-target metric and proposed fix steps.
• Present outcome evidence against each criterion
• Open issues and ticket burn-down
• Deployment and migration validation summary
• Diagnose root causes for any metric gaps
• Document pass/fail per criterion and capture acceptance decision
• Early adoption signals and usage patterns
• Enhancement request review and prioritization
• Agree corrective actions and timelines
• Blockers and open issues
• Confirm readiness path to Acceptance Gate
• Compliance and audit readiness check
• Confirm incumbent system disposition if applicable
• Agree immediate remediation actions
• Agree remediation plan for any failed criteria
• Agree next quarter action plan