This protocol treats one populated field within a sampled prospect record as the unit of analysis and keeps missing, conflicted, and unresolved evidence visible.
Research question and decision use
Source Provenance Completeness in Prospect Records asks how to measure whether populated prospect fields retain enough source and observation detail for another reviewer to reproduce them. For this workflow, the result supports a bounded operating review and does not claim causation, legal compliance, or performance beyond the observed sample.
Population and observation unit
Source Provenance Completeness in Prospect Records defines the observation unit as one populated field within a sampled prospect record. For this workflow, freeze an eligible population, sampling window, inclusion rule, exclusion rule, and duplicate-handling rule before reviewing outcomes.
Data dictionary and evidence lineage
Source Provenance Completeness in Prospect Records uses a versioned data dictionary. For this workflow, capture field name, recorded value, source URL, source publisher, observed time, extraction method, confidence label, reviewer result, and correction outcome. Each coded value points to its original artifact, observer, observation time, and permitted transformation.
Analysis plan
Source Provenance Completeness in Prospect Records compares source class, field type, account segment, record age, and reviewer outcome. For this workflow, report counts beside rates, preserve unknown and conflicted states, and show medians and ranges where elapsed time is relevant.
Source Provenance Completeness in Prospect Records predefines the primary outcome. For this workflow, the primary outcome is the proportion of sampled fields a second reviewer can reproduce without asking the original researcher. Label secondary comparisons exploratory and disclose when a result depends on one source.
Reliability and reviewer agreement
Source Provenance Completeness in Prospect Records uses two independent reviewers on a blinded overlap sample. For this workflow, for one populated field within a sampled prospect record, publish coding rules for source class, field type, account segment, record age, and reviewer outcome, initial agreement, adjudication count, and rule changes so apparent precision does not hide interpretation.
Source Provenance Completeness in Prospect Records tests record reconstruction. For this workflow, a quality sample must reopen field name, recorded value, source URL, source publisher, observed time, extraction method, confidence label, reviewer result, and correction outcome and reproduce the code without relying on the original reviewer’s private notes.
Safety, privacy, and limits
Source Provenance Completeness in Prospect Records minimizes personal and commercially sensitive data. For this workflow, represent one populated field within a sampled prospect record with a stable study key, restrict raw field name, recorded value, source URL, source publisher, observed time, extraction method, confidence label, reviewer result, and correction outcome, separate access from analysis, and publish results grouped by source class, field type, account segment, record age, and reviewer outcome.
Source Provenance Completeness in Prospect Records states the limits beside every finding. For this workflow, dynamic pages, derived company attributes, and inaccessible paid sources receive separate evidence codes instead of being treated as equivalent failures. Selection, changing systems, timestamp ambiguity, and reviewer learning may also constrain interpretation.
Source interpretation
Source Provenance Completeness in Prospect Records uses public guidance as a control framework. For this workflow, FTC and FCC material frames communication boundaries around one populated field within a sampled prospect record; NIST and CISA material frames evidence, privacy, access, and incident practices. None supplies the measured result for source class, field type, account segment, record age, and reviewer outcome.
Reporting template
Source Provenance Completeness in Prospect Records reports the frozen window, eligible count, exclusions, missing data, source coverage, outcome distribution, reviewer agreement, sensitivity checks, and counterexamples. For this workflow, repeat the analysis with inferred fields excluded and with each major source class removed in turn. Separate observed facts from interpretation and give proposed changes an owner, review date, and reversal condition.
Sources
Apply the operating question
Use the finding to define one source, output, review owner, and exception path inside a real workflow.
Discuss the workflow