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125 lines
6.5 KiB
Markdown
125 lines
6.5 KiB
Markdown
# Worked Example — Claims-Processing Cycle-Time Reduction
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A synthetic engagement that calibrates the expected depth and evidence
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labeling of the continuity artifacts. All people, numbers, and workflows are
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illustrative; none reference a real customer, system, or deployment. Use this
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to calibrate depth, not as a template substitute.
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## Engagement charter (excerpt)
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- **Engagement:** Claims-processing cycle-time reduction
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- **Accountable technical lead:** Assigned engagement lead
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- **Sponsor and decision authority:** Operations sponsor; privacy and security
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owners gate data access; service owner approves production change
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- **Stakeholders and intended users:** Claims processors, workflow
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supervisors, downstream payment roles
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- **Workflow and problem statement:** Elapsed time from claim submission to
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decision is the target workflow. The bottleneck is unvalidated; no
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particular stage is assumed to be the cause.
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- **Desired outcome and baseline:** Reduce median cycle time by at least 10%
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against a recorded 30-day baseline, without breaching agreed quality,
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privacy, or compliance guardrails.
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- **In scope:** Read-only workflow observation; baseline measurement; one
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bounded intervention with a tested hypothesis.
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- **Out of scope:** Claims policy changes; unapproved production changes;
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external commitments.
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- **Constraints:** Least-privilege access; approved change windows; retention
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and deletion rules for claims data.
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- **Success measure and decision rule:** Proceed to the next stage only when
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the sponsor approves the metric definition, baseline, target, and guardrails
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with named evidence.
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- **Stop conditions:** No recognizable problem; no workflow access; authority
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or constraints cannot be named; evidence fails; next action exceeds charter.
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- **Sharing classification:** Private by default; reviewer and review date
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recorded before any external sharing.
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## Ledger entries (excerpt)
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| ID | Type | Statement | Evidence / source | Confidence | Owner | Due / review | Status |
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| A-001 | Assumption | Median cycle time is a material outcome for the engagement. | Source fact: engagement request names cycle-time reduction as the objective | High | Sponsor | Before solution design | Open |
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| D-001 | Decision | No solution design until the charter establishes problem, users, workflow, outcome, scope, authority, constraints, success measure, and stop conditions. | Decision: engagement design gate | High | Sponsor and lead | Ratified | Active |
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| R-001 | Risk | Optimizing cycle time could degrade claim quality if guardrails are not explicit. | Inference: guardrails not yet defined | Medium | Operational risk owner | Before hypothesis approval | Open |
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## Stage handoff — Build to Evaluate (excerpt)
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- **Entry evidence:** Approved requirement; thin-slice implementation plan with
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owner; charter and ledger current.
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- **Work performed:** Thin slice built and tested against acceptance criteria.
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- **Source / evidence labels:** Each test result labeled engagement observation;
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design choices labeled decisions.
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- **Observed result:** Slice passes technical acceptance; no production claim.
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- **Unknowns:** Production data behavior; operator workflow interaction.
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- **Decision rule:** Advance to Evaluate when representative evidence exists.
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- **Decision:** Advance to Evaluate.
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- **Receiving owner / acceptance condition:** Evaluation owner accepts the
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slice and baseline evidence.
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## Evaluation and release decision (excerpt)
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- **Baseline and decision thresholds:** Median 30-day cycle time; 10%
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reduction rule; quality guardrails.
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- **Representative evidence:** Workflow sample spanning claim types, channels,
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and processor experience levels.
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- **Adversarial or misuse evidence:** Boundary inputs, partial data, and
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worst-case queue conditions.
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- **Known constraints and residual risks:** One segment shows 8% adoption;
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support owner not yet named.
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- **Rollout / rollback prerequisites:** Authorized change window; recovery
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path tested; verification method named.
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- **Release decision:** Conditional — approve with the adoption plan and
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support owner recorded as conditions.
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## Adoption scorecard (excerpt)
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- **Target workflow and users:** Claims processors in the two busiest teams.
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- **Activation event:** First claim completed with the new path.
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- **Adoption metric and decision rule:** 60% of eligible processors active
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within 30 days.
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- **Outcome metric and decision rule:** Median cycle-time reduction >= 10%
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with quality guardrails intact.
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- **Observed:** Team A 64% active; Team B 8% active.
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- **Blockers recorded:** Team B workflow-fit and support evidence missing;
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incentive alignment unexamined.
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- **Interpretation:** Adoption gap is unexplained; more training or features
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are not prescribed until access, fit, trust, support, and incentives are
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distinguished.
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## Outcome measurement record (excerpt)
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- **Observed result:** 12% median reduction against the 10% rule.
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- **Uncertainty and confounders:** Two-week window; concurrent process
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changes; segment imbalance.
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- **Decision:** Continue with the adoption intervention; re-measure at 60
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days.
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## Productization record (excerpt)
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- **Observed local result:** 12% reduction; adoption strong in one segment,
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weak in another.
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- **Reuse hypothesis:** The intervention may transfer to similar
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intake-to-decision workflows.
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- **Classification:** Configuration — provisional, local-only. A single
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positive outcome, weak adoption in one segment, and no willing receiving
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owner are insufficient evidence for a reusable-pattern or product-capability
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classification.
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- **Reuse boundary:** Restricted to the current authorized context until
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repeated need, transferable constraints, support economics, and a receiving
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owner are evidenced.
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- **Recommendation:** Candidate pattern for a pilot transfer; the receiving
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product owner must approve a requirement before implementation-planning is
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routed.
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- **Decision authority and decision:** Pending; recommendation is not a
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decision.
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- **Field learning returned to:** Internal platform and product owners, with
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the external-sharing gate applied.
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## What this example is for
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Calibrate the depth and evidence discipline expected of each artifact:
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separate observations from inferences, apply the declared decision rule,
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record missing evidence as bounded uncertainty, label every material entry,
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and keep the classification and recommendation separate from any authorized
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decision. Do not copy the illustrative numbers or the synthetic workflow into
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a real engagement.
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