This protocol treats one imported lead-status transition as the unit of analysis and keeps missing, conflicted, and unresolved evidence visible.
Research question and decision use
Reliability of Lead Status Transitions After CRM Imports asks how to measure whether lead-status changes introduced by imports follow approved state rules and retain the triggering evidence. 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
Reliability of Lead Status Transitions After CRM Imports defines the observation unit as one imported lead-status transition. 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
Reliability of Lead Status Transitions After CRM Imports uses a versioned data dictionary. For this workflow, capture record ID, prior state, imported state, event time, import job, triggering evidence, allowed-transition result, owner, exception code, and final disposition. Each coded value points to its original artifact, observer, observation time, and permitted transformation.
Analysis plan
Reliability of Lead Status Transitions After CRM Imports compares import source, transition pair, evidence state, owner group, and exception class. For this workflow, report counts beside rates, preserve unknown and conflicted states, and show medians and ranges where elapsed time is relevant.
Reliability of Lead Status Transitions After CRM Imports predefines the primary outcome. For this workflow, the primary outcome is the proportion of imported transitions that are allowed and linked to a reconstructable event. Label secondary comparisons exploratory and disclose when a result depends on one source.
Reliability and reviewer agreement
Reliability of Lead Status Transitions After CRM Imports uses two independent reviewers on a blinded overlap sample. For this workflow, for one imported lead-status transition, publish coding rules for import source, transition pair, evidence state, owner group, and exception class, initial agreement, adjudication count, and rule changes so apparent precision does not hide interpretation.
Reliability of Lead Status Transitions After CRM Imports tests record reconstruction. For this workflow, a quality sample must reopen record ID, prior state, imported state, event time, import job, triggering evidence, allowed-transition result, owner, exception code, and final disposition and reproduce the code without relying on the original reviewer’s private notes.
Safety, privacy, and limits
Reliability of Lead Status Transitions After CRM Imports minimizes personal and commercially sensitive data. For this workflow, represent one imported lead-status transition with a stable study key, restrict raw record ID, prior state, imported state, event time, import job, triggering evidence, allowed-transition result, owner, exception code, and final disposition, separate access from analysis, and publish results grouped by import source, transition pair, evidence state, owner group, and exception class.
Reliability of Lead Status Transitions After CRM Imports states the limits beside every finding. For this workflow, a technically valid transition can still be unsupported when the event timestamp or source artifact is missing. Selection, changing systems, timestamp ambiguity, and reviewer learning may also constrain interpretation.
Source interpretation
Reliability of Lead Status Transitions After CRM Imports uses public guidance as a control framework. For this workflow, FTC and FCC material frames communication boundaries around one imported lead-status transition; NIST and CISA material frames evidence, privacy, access, and incident practices. None supplies the measured result for import source, transition pair, evidence state, owner group, and exception class.
Reporting template
Reliability of Lead Status Transitions After CRM Imports reports the frozen window, eligible count, exclusions, missing data, source coverage, outcome distribution, reviewer agreement, sensitivity checks, and counterexamples. For this workflow, recalculate after excluding retries, rollback jobs, and records touched by more than one import during the window. 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