When to use it
Resident feedback is used to compare service or groups.
Property decision guide
Resident Survey Data Quality: Denominators, Coverage and Privacy
Feedback can identify service experiences and questions to investigate. Its interpretation depends on who was invited, who responded, what each measure counts and which situations the evidence does not represent.
Define the decision and collection unit
Distinguish gathering issue descriptions, evaluating one service encounter and asking an eligible population about a period. Define the reporting unit: person, household, unit, response or encounter. Do not silently swap those denominators.
Describe invitation population, channels, dates and known access limits. If some eligible people cannot use the channel, retain that limitation and consider an appropriate alternate route. Participation cannot be inferred from occupied-unit counts.
Separate responses and usable answers
Track invitation coverage, submitted responses, eligible responses and question-level usable answers separately. Define duplicate, incomplete and ineligible handling before calculating. Keep an authorized correction trail rather than removing inconvenient feedback.
Hypothetical example: 100 eligible households invited, 30 respond, 24 answer one question and 18 select a positive option. Question share is 18/24 = 75%; response coverage is 30/100 = 30%. Neither establishes that 75% of all eligible households hold that opinion.
Keep nonresponse and comparability limits visible
Respondents can differ from nonrespondents. A convenience collection through one channel is not automatically representative. Describe the observed group and inference boundary rather than presenting a precise percentage as universal satisfaction.
Compare periods only when wording, population, channel and response rules are sufficiently aligned. A changed question or population can alter results without operational change. Free-text themes are not verified incident counts; investigate substantive concerns against service records.
Protect private records and publish a repeatable note
Collect information proportionate to the authorized purpose. A general issue survey may not need names, financial details or personal circumstances. Explain access roles and aggregation. Review quotations for identifying detail before circulation. Determine retention and disclosure obligations through the actual responsible process.
Attach wording, period, reporting unit, numerator, denominator, exclusions and limitations to the measure. Missing answers are not negative responses or zero. NIST’s Privacy Framework is a voluntary risk-management reference, not proof of compliance with every law. These calculations are original operational examples.
Hypothetical worked example
A question share is confused with response coverage
Hypothetically, 100 households are invited, 30 respond, 24 answer one question and 18 choose a positive option. The question share is 75%, while response coverage is 30%.
Original fictional example · no completed client assignment or property inspection is represented.
| Record to obtain | Review question or calculation |
|---|---|
| Invitation population and dates | Use 18/24 for the question share. Show the sequence explicitly: 100 invited, 30 respondents, 24 answers to this question and 18 positive answers. |
| Eligible submitted responses | Use 30/100 for response coverage. The 18 positive answers are 75% of the 24 question answers; the six skipped questions are not automatically negative responses. |
| Usable answers for the particular question | Keep nonresponse limitations visible. Do not substitute the 30 respondents or 100 invitees as the denominator for that same 75% claim, and do not infer the views of nonrespondents. |
Useful working output: A denominator note that does not claim property-wide satisfaction.
What would change the decision?
Open each challenge to test the reasoning against a different finding.
A high satisfaction score comes from very few responses
Check: Compare eligible households, invitations delivered, unique responses and missing answers. Examine whether the collection method excluded part of the community.
Decision effect: State the response base and coverage limits beside the score. Avoid describing respondent views as the view of every resident.
Several submissions may come from the same household
Check: Apply the survey privacy and deduplication rules consistently; retain the original response set in the authorized system.
Decision effect: Explain exclusions and report the revised denominator. Do not silently remove inconvenient answers.
Adapt the record request to authorized access, governing documents and the actual property. The example does not verify any unknown input or replace a professional conclusion.
Comparing Property Data Without Misleading Conclusions · More property data and metrics examples
Before acting on this guide
Set the review boundary and the acceptance test.
What the evidence does not prove
Do not treat respondents as a representative sample without supporting evidence.
What to verify before acceptance
Retain eligibility, contact coverage, question-specific denominators and privacy limits alongside reported results.
Original proposed coordination checks · adapt to authorized access, the actual obligation and the appropriate professional review. These are not findings about your property.
Follow the related handoff workflow · Read the review definitions
A number, its evidence and the decision
Keep the denominator attached to a result
A percentage can change because the event count changed, the population changed or the definition changed. Show the numerator, denominator and period before describing a trend.
Definition
State the event and eligible population.
Source
Identify the authoritative records and period.
Calculation
Apply the same unit and denominator.
Interpretation
Check selection effects and missing records.
A worked example with visible assumptions
A fictional survey receives 47 unique valid household responses from 120 eligible households invited. The response rate is 39.2% after rounding. It describes participation in this survey, not the opinion of every resident. Multiple responses from one household require a defined reconciliation rule.
Original hypothetical arithmetic example. The amounts describe a fictional scenario, not observed property performance or a recommended target.
Continue with Comparing Property Data Without Misleading ConclusionsExplore the calculation
Enter non-negative values using the same scope and period. This calculation stays in your browser tab.
Counts can add; rates need weights
Separate, non-overlapping counts for the same period can be added. Rates need their denominators; medians cannot be pooled by averaging them.
Label the geography
The Tampa metropolitan area and Hillsborough–Pinellas county pair are different populations. Keep their measures separate.
Preserve the observation period
An editorial update does not make an old observation new. Keep provisional status, survey period and publication date visible. Run the same definition on both populations before ranking results. If one source counts tickets and the other counts buildings, keep the figures separate until a documented mapping exists; a common percentage format does not make the units comparable.
Working checklist
Resident Survey Data Quality: Denominators, Coverage and Privacy checklist
A reusable control-definition worksheet. Add property-specific owners, dates, evidence links and status before using it as an action record.
These rows define suggested controls, not completed property findings. Interpret each check against your actual property records, responsible role and acceptance evidence. See the review instructions and reuse terms.
8 checks shown
No check matches those filters. Try a different term or area.
| Review area | Check | Evidence | Responsible owner | Acceptance evidence |
|---|---|---|---|---|
| Purpose | Define decision and reporting unit | Purpose and person household or encounter unit | Survey owner | Denominator meaning explicit |
| Population | Document invitation coverage | Eligible population channels and limitations | Survey owner | Unreachable groups visible |
| Responses | Separate response states | Submitted eligible and question-usable answers | Data owner | States not mixed |
| Responses | Define duplicate disposition | Stable identifiers and authorized correction | Data owner | Trace retained |
| Measure | Retain exact wording and period | Question and collection dates | Survey owner | Meaning stable across outputs |
| Measure | Compute question-level share | Numerator and usable-answer denominator | Report owner | Repeatable calculation |
| Inference | Describe selection limits | Coverage nonresponse and cross-period changes | Review lead | Respondents not entire population |
| Privacy | Limit disclosure and link follow-up | Restricted originals aggregate summary and service evidence | Responsible owner | Opinion not verified incident count |
Frequently asked questions
Is a high positive share property-wide satisfaction?
Not by itself. Give the question-level denominator, coverage, response pattern and inference limits.
Should missing answers count negative?
Keep missing answers separate from selections, use the defined usable-answer denominator and disclose exclusions.
Primary references and scope
Confirm the applicable source and any later changes before a property-specific decision. The guide provides coordination controls; professional conclusions remain with the appropriate qualified reviewer.