Short answer
A completed checklist is evidence that someone said a step was done, when, and who signed. It is an execution log written by the worker or inspector, not an instruction and not a recording of the work. Buyers can use these records for timing, ordering, exception frequency and outcome labels, but not for motion, force or proof of how a step was carried out.
The buyer's problem
A blank procedure tells a model what should happen. A filled-in form tells you what a particular person reported about a particular job. That difference matters when you want realistic step counts, typical delays, how often steps are skipped, or outcome labels to attach to other data such as video.
Execution records also arrive in awkward shapes: scanned forms with handwriting, app exports with free-text notes, spreadsheets with one row per shift. Before you buy, decide what you want to learn from them. If the goal is a specification of success, the blank checklist page is the right starting point; this page covers the filled-in side.
Why the records exist, and what that implies
In regulated manufacturing, the rules for drug production require that procedures are followed and documented at the time of performance, and that any deviation is recorded and justified (21 CFR 211.100). Records in such settings are written for audit, so entries tend to be complete in form and terse in content.
More generally, ISO 9001 requirements include documented information and performance evaluation as part of running a quality management system (ISO, 2026). That tells you completed forms are common across industries, not that any given set is accurate or rich. Records designed to satisfy an auditor can look identical across days because the form was completed from habit.
What completed records can support, and what they cannot
| Use | What the record contributes | Caveat |
|---|---|---|
| Outcome labels | Pass/fail, accepted/rejected, rework flags | Labels reflect the signer's judgment and the form's categories |
| Step timing and order | Timestamps or sequence per job | Often entered after the fact, in batches |
| Exception statistics | Which items fail, how often, on which equipment | Survivorship: failures may go unrecorded |
| Role and handoff structure | Who performs, who verifies, who approves | Names must be pseudonymized for most uses |
| Task-level planning evaluation | Realistic sequences to compare against model plans | Needs a matching procedure and review |
Records do not contain the physical execution. They also cannot reveal whether the steps were done in the stated order or whether the checker looked at the item at all. Where honesty of entry is uncertain, link the log to observation; the problem is covered in procedural drift.
Illustrative record schema
# Illustrative only - synthetic values
record_id: rec_88213
checklist_ref: chk_0042 (rev r3)
site_id: site_017
job_ref: job_5521
performed_by: operator_A12 # pseudonymous
verified_by: inspector_B04 # pseudonymous
started_at: 2026-03-04T07:42:00
completed_at: 2026-03-04T08:19:00
items:
- item_id: chk_0042_07
result: pass # pass | fail | na | not_recorded
entered_at: 2026-03-04T08:17:00
note: "" # free text, redacted
attachment: photo_ref_0031 # optional
disposition: accepted # accepted | rework | rejected
signoff_type: typed_name # typed_name | image_signature | badge_scan
Note entered_at per item. If every item shares a timestamp a minute apart at the end of the job, the record documents completion, not process.
Quality and acceptance criteria
- Entry timing. Ask what share of items carries individual timestamps and whether they were captured in the moment or at close-out.
- Completeness of outcomes. Count
not_recordedand blank results; a high blank rate signals fields that staff skip. - Free text. Estimate the share of notes that explain a failure versus repeat the item text. Explanatory notes are the most valuable part for exception modeling.
- Linkage. Each record should resolve to a checklist revision, a site, a job and an equipment or location type.
- Signature handling. Signatures and badge IDs are personal data in many settings; confirm they are removed or replaced consistently before delivery.
- Sampling bias. If only rejected or audited jobs were exported, say so in the data documentation. Datasheet-style documentation helps here, as in Datasheets for Datasets.
Supplier types and where records sit
Quality, operations and compliance teams in manufacturers, food producers, labs, facilities contractors and service operators hold most of these records. They may live in document management systems, a quality-management or connected-worker platform, or paper binders scanned on a schedule. Contractors often hold records on behalf of a client; the client may restrict reuse. For help judging who can grant a license, see who owns a procedure.
Completed records may also reference a customer's part numbers or a regulator's findings. Those lines are the business's data about third parties, so ask about customer confidentiality terms and not just internal policy.
Limitations and preparation needed
- Reported, not observed. A tick mark is a claim. Pair a sample with video or photo evidence if you need to know how reliable ticks are.
- Form design shapes content. Only conditions the form asks about appear in the data. Anything outside it, including common improvised fixes, is absent.
- Handwriting and scans. Scanned handwritten entries need OCR or transcription and a review of error rates; see parsing scanned manuals for the layout side of the same work.
- Linking to deviations. Records that fail an item usually point to a separate report; the deviation reports page covers that companion asset.
- Competency sign-offs. Training sign-offs are a different class of record, covered in competency assessments and sign-offs.
- Evidence attachments. If forms reference photos, the attachments carry their own permissions, as discussed in photo evidence of step completion.
Questions to ask suppliers
- How were the records created: on paper, on a tablet at the point of work, or from a desk at shift end?
- Do items carry individual timestamps, or one for the whole form?
- What proportion of records show any failed item or recorded exception?
- Were records selected (for example, only audited jobs), or is this a full period?
- How are people identified in the records, and can identifiers be replaced consistently across files?
- Do customer names, part numbers or regulator references appear, and are there contractual limits on them?
- Can records be joined to the checklist revision in force at the time?
- Are free-text notes retained, and who reviewed them for sensitive content?
Discuss your requirements
If execution records would help your evaluation or planning work, describe the task area, record types and permitted uses to SourceX. SourceX looks for US businesses that hold suitable records, checks the data and the supplier's licensing permissions, and coordinates the license and delivery. A request does not guarantee a match; SourceX follows up about potential sources.
Start from the humanoid training data guide or the procedural data hub. Related catalog entries include manufacturing quality records and inspection reports; field service maintenance records cover a neighboring record type.
Explore sourcing and licensing options with SourceX
Sources
- 21 CFR 211.100 Written procedures; deviations — Drug-manufacturing rules require procedures to be followed and documented at the time of performance, with deviations recorded and justified.
- Datasheets for Datasets — Dataset documentation practice covering composition, collection process and recommended uses.
- ISO 9001:2026 Quality management systems - Requirements — Quality management requirements cover documented information and performance evaluation.