Philippines staffing research
What happens when survey calls surface an age concern?
An evidence-minimizing review of stops and outcomes.
Published: September 11, 2026. This protocol examines what happens when survey calls surface an age concern? It reports no measured effect or promised result.
Methodology: use one interaction with a possible age concern as the observation unit. Pre-register eligibility, exclusions, fields, missing-data codes, and comparisons.
Scope/population: surveys whose script contains an age criterion. Observation window: one fieldwork wave plus twenty-one days. Do not generalize beyond these workflows, dates, and systems.
Data collection should preserve pseudonymous IDs, sources, timestamps, queue states, owner decisions, outcomes, exclusions, and missingness.
Analysis should report counts and denominators by workflow, case band, reviewer, action, and outcome. Use intervals only when supported.
Inference and causal boundaries: A signal is not proof of age or consent validity. Case mix, source age, staffing, season, scripts, and workflow changes are competing explanations.
Quality control: pilot a codebook, blind a second reviewer, and report agreement, adjudications, exclusions, and rule changes.
Limitations: incomplete audio, late notes, inconsistent timestamps, small groups, selection, and unobserved actions can bias results. Quantify each.
Use findings narrowly to improve a field, queue rule, reviewer guide, or prospective test; never judge an individual from aggregates.
Sources/References: NIST Privacy Framework (https://www.nist.gov/privacy-framework); FTC Telemarketing Sales Rule (https://www.ftc.gov/legal-library/browse/rules/telemarketing-sales-rule); AAPOR Best Practices (https://aapor.org/standards-and-ethics/best-practices/); Philippines National Privacy Commission (https://privacy.gov.ph/data-privacy-act/).