Retained or restored
The benefit continues or returns, with any gap and interruption made visible.
DCHS Insights CX Human-Centered Design @ DCHS PROTOTYPE no real data An HR1-focused PULSE view would give staff a shared picture of how affected clients are moving from an upcoming benefit action through proof, a decision, and any connection to another source of help. It should make approaching deadlines, stalled cases, emerging harm, and service-capacity problems visible early enough for a named team to respond.
Use it as a shared operational briefing that brings the most useful parts of PULSE—volume, trends, goals, outcomes, equity, and field learning—around one time-sensitive issue.
Read the view from the client's next deadline forward. It should first show how many affected clients need attention and where they are in the process. It should then show what happened to their benefits, whether another service was actually received, and whether food, care, housing, utility, or transportation needs remain unresolved.
Each weekly measure should answer four questions: who is counted, where they are in the journey, what changed since the last review, and who is expected to act. Measures that require more stable follow-up—such as benefit restoration, coverage-gap duration, or service receipt—can be refreshed monthly or quarterly and summarized in the weekly view when there is a meaningful signal.
Begin by publishing baselines and definitions. Add targets only after the responsible team can defend the denominator, the reporting lag, the desired direction, and the part of the result it can reasonably influence.
The first six stages show whether an affected client reaches a confirmed benefit decision with usable proof. Each benefit episode then belongs to one path: the benefit was retained or restored, or it remains lost or unresolved. Reporting both groups separately shows where continuity held and where another response is needed.
DCHS knows the affected benefit, action date, and contact route.
The client receives an accessible explanation of what may apply and what happens next.
The requested proof is available before the deadline.
The proof reaches a confirmed submission channel on time.
The proof is matched and accepted without an avoidable repeat request.
The result is confirmed and assigned to one outcome path.
The benefit continues or returns, with any gap and interruption made visible.
Alternative help and unresolved food, care, or stability needs are followed after loss.
Keep the stages and outcome groups separate. A high submission rate can coexist with poor document matching or a coverage lapse. Among clients whose benefit remains lost, a referral can also fail before help is received. Showing those distinctions reveals where further investigation or an operational response belongs.
These examples make four practical questions easier to picture: who is affected and when, what outcomes clients experience, where the process can improve, and who may be getting missed. The value is in defining useful HR1 measures; the visuals simply show how those measures could become concrete and readable.
Show upcoming renewals, response deadlines, unresolved proof requests, or coverage gaps over time. This helps staff see how many people may need support, when demand is likely to rise, and whether a change lasts longer than a single week.
Show whether benefits were retained without a gap, restored after a lapse, or remained lost or unresolved. For clients who need another source of help, show whether that service was actually received. Keeping these outcomes distinct makes progress and remaining harm visible.
Track the few process measures that most directly protect continuity, such as proof matched without a duplicate request, outreach completed before closure, or follow-up after a client accepts a referral. These measures can reveal where an otherwise promising response is falling short.
Compare completion and continuity by preferred language, communication channel, accommodation need, housing stability, benefit, or another approved grouping. This can reveal when the process works for one group but repeatedly stalls for another.
Together, these measures can show the number of clients approaching a benefit action, how the proof process is working, what happens to benefits and services, where outcomes differ, and what staff are seeing in the field.
Show how many clients are approaching an affected SNAP or Medicaid action, how many decisions are due this week, and how the workload is distributed across programs and teams.
Use one shared funnel from affected status through proof and decision, with a denominator at every step so the point of loss is visible.
Use follow-up signals to show when a benefits transition is affecting food, health, housing, or a client's ability to continue another service plan.
Use a closed-loop ladder that keeps an offered resource distinct from help the client actually received.
Compare the funnel by benefit, preferred language, communication channel, disability or accommodation need, housing stability, and other approved groupings without publishing identifiable small cells.
Pair the measures with one de-identified friction pattern, policy clarification, or service-capacity update that tells staff what to do differently this week.
The visual flow establishes the sequence. This table turns each stage into a measurable concept by naming its denominator and the direction that would indicate progress.
| Stage | Candidate measure | Denominator | What progress would look like |
|---|---|---|---|
| Identify | Share of the known affected cohort with benefit, action date, and contact channel recorded | Known clients approaching an affected action | Increase completeness before the first deadline |
| Reach and explain | Share reached through an accessible channel before the deadline, with requirements, possible exemptions, and next steps explained | Known affected clients requiring notice or outreach | Increase confirmed contact and the time clients have to respond |
| Prepare | Share with requested proof available before the response deadline | Clients asked to provide proof | Increase; distinguish proof unavailable from help declined |
| Submit | Share with proof submitted on time through a confirmed channel | Clients asked to provide proof | Increase and reduce channel failures |
| Accept | Share of submissions accepted without a repeat request for the same information | Clients with proof submitted | Increase; investigate duplicate or unmatched proof |
| Benefit decision | Retained without gap, lapsed then restored, unresolved loss, and median gap days | Clients reaching an affected decision | Increase continuity and reduce unresolved loss and gap days |
| Retained or restored | Retained without a gap, restored after a gap, median gap days, and care or service continuity | Clients whose benefit was retained or restored | Increase uninterrupted continuity and shorten restoration gaps |
| Lost or unresolved | Alternative offered, contacted, enrolled, and received, alongside needs still unresolved at follow-up | Clients whose benefit remains lost or unresolved | Increase completed alternative connections and decrease unresolved need |
These decisions determine whether the focused view helps teams intervene or merely summarizes activity after the fact.
The data sources and definitions that have to connect before each part of the view can be trusted. System names remain deliberately general until the working group confirms the records of authority.
| Metric | Where it would come from | What we would need | The open question |
|---|---|---|---|
| Affected cohort and deadlines | Eligibility notices and state or local benefits workflow data | Benefit, action type, effective date, response deadline, current contact status, and stable counting rules | Which fields can DCHS receive in time to act, and how often are they refreshed? Who can answer this: ______________ |
| Proof funnel | Benefits workflow, document receipt, and outreach records | Timestamps for requested, available, submitted, matched, accepted, and repeated proof | Can proof be matched across channels without treating an unmatched upload as client noncompliance? Who can answer this: ______________ |
| Benefit outcome and gap days | Eligibility and enrollment history | Reliable effective dates and a rule for retained, lapsed, restored, and unresolved outcomes | What lag is required before the outcome is stable enough to report? Who can answer this: ______________ |
| Alternative-service ladder | HCS or another referral workflow plus receiving-program confirmation | Separate timestamps and statuses for offered, accepted, contacted, enrolled, and received | Which partners can close the loop, and how will unavailable capacity be represented? Who can answer this: ______________ |
| Client consequences | Consented AHC-HRSN responses, service records, and targeted client listening | A follow-up interval, domain definitions, and a way to distinguish client report from administrative data | Which outcomes belong in weekly operations, and which require monthly or quarterly interpretation? Who can answer this: ______________ |
| Access and equity breakdowns | Approved demographic, language, accommodation, channel, and geography fields | Data-quality checks, minimum-cell rules, suppression, and an interpretation owner | Which breakdowns are reliable enough to guide action without identifying clients or overstating incomplete fields? Who can answer this: ______________ |
Metrics show where a pattern occurs. The persona, screening, and listening scenarios explain what to ask, how to respond, and what the numbers may be hiding.
See how the same process lands differently in Janice's life and in Aboul & Hossina's household.
Review the phased AHC-HRSN question set and the referral-outcome ladder.
Use four complementary methods to interpret friction, client experience, and case outcomes.
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