Delphi Panel Recruitment Anonymity Protocol Lookup
Build a Delphi recruitment and anonymity protocol with a caller-supplied cohort reporting threshold.
Description
A Delphi protocol separates recruitment identities from response reporting.
A Delphi protocol separates recruitment identities from response reporting. Cohort-size thresholds provide an initial process screen.1
The returned values include Anonymity design, Protocol threshold supported, Recruitment steps, Small cohort warning. The How section below explains the calculation, input rules and interpretation.
When to use Delphi Panel Recruitment Anonymity Protocol Lookup
Use Delphi Panel Recruitment Anonymity Protocol Lookup when you need to evaluate the supplied records under the calculation and evidence rules below. No actual recruitment, data separation or anonymization guarantee is performed; the percentage rule is this tool's illustrative screen.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Delphi Panel Recruitment Anonymity Protocol Lookup and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter anonymityThresholdPercent, identityDataNeeded, participantCount, recruitmentChannels using the field table and calculation rules, then run the tool.
- Read anonymityDesign, protocolReady, recruitmentSteps, smallCohortWarning. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| anonymityThresholdPercent | Anonymity threshold percent (%) | number; minimum: 1; maximum: 100 | Required |
| identityDataNeeded | Identity data needed | list of string | Required |
| participantCount | Participant count | integer; minimum: 1 | Required |
| recruitmentChannels | Recruitment channels | list of string | Required |
Require positive safe-integer participants, threshold 1–100 and nonempty nonblank channels/identity-field lists. Trim strings, return fixed anonymity design and recruitment steps, small-cohort flag for count<10 and joint ready flag.
ready=participants≥10 AND participants×thresholdPercent/100≥2 Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| anonymityDesign | Anonymity design | list of string |
| protocolReady | Protocol threshold supported | boolean |
| recruitmentSteps | Recruitment steps | list of string |
| smallCohortWarning | Small cohort warning | boolean |
{
"input": {
"anonymityThresholdPercent": 80,
"identityDataNeeded": [
"eligibility",
"contact"
],
"participantCount": 20,
"recruitmentChannels": [
"community list",
"partner network"
]
},
"output": {
"anonymityDesign": [
"Collect only identity data required for recruitment or eligibility.",
"Store recruitment identity separately from panel responses.",
"Publish group results only when the cohort meets the anonymity threshold.",
"Remove direct identifiers from exported and shared data."
],
"protocolReady": true,
"recruitmentSteps": [
"Recruit through community list, partner network.",
"Document required identity data: eligibility, contact.",
"Use unique panel IDs that cannot be linked to identity in response exports.",
"Apply the reporting threshold before displaying subgroup or individual results."
],
"smallCohortWarning": false
}
}Limitations and assumptions
No actual recruitment, data separation or anonymization guarantee is performed; the percentage rule is this tool's illustrative screen.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors. A successfully returned false flag is an evaluated outcome; its meaning is explained above.
Alternative or Complementary methods
Use Delphi Method Round Consensus Convergence Tracker: Delphi rounds can be summarized by already computed medians and spreads. This tracker defines convergence solely by the final spread. For a complementary task, use Participatory Foresight Citizen Panel Design Checklist: A participatory foresight panel needs a purpose, representation criteria and accessibility measures. Counting declared dimensions is an initial design screen.
References
Similar or alternative tools
- Delphi Method Round Consensus Convergence Tracker
Delphi rounds can be summarized by already computed medians and spreads. This tracker defines convergence solely by the final spread.
- Participatory Foresight Citizen Panel Design Checklist
A participatory foresight panel needs a purpose, representation criteria and accessibility measures. Counting declared dimensions is an initial design screen.