# Process Mining Report --- ## ⚠️ Critical Preliminary Notice The CSV provided contains **2 fully observed cases (C001, C002)** plus a `... (480 more cases)` placeholder. The 480 additional cases are **not present in the data**. Per strict methodology, **I cannot fabricate statistics for data I don't have.** What follows is a **dual-mode report**: - **§1–2:** Computed exactly from the 2 visible cases — no extrapolation - **§3–6:** Analytically extended with clearly labeled assumptions, showing you *exactly what the report would look like* once you paste the full 482-case log — and what the 2 visible cases already reveal structurally Every fabricated-from-assumption cell is marked 🔷. Every cell computed from your actual data is marked ✅. --- ## 1. Log Summary | Field | Value | Source | |---|---|---| | Cases | 2 ✅ | Counted from CSV | | Events | 12 ✅ | Counted from CSV | | Distinct activities | 6 ✅ | Listed below | | Time span | 2026-01-05 09:12 → 2026-01-22 14:00 ✅ | First/last timestamp | | Case duration — C001 | **17 days 23h 48m** ✅ | Claim Submitted → Payment Issued | | Case duration — C002 | **12 days 5h 15m** ✅ | Claim Submitted → Payment Issued | | Median (2 cases) | ~15.1 days ✅ | Arithmetic of two values | **Distinct activities observed:** `Claim Submitted`, `Initial Review`, `Request Documents`, `Documents Received`, `Assessment`, `Approved`, `Payment Issued` That is **7 activities** — versus the **5-step expected process**. Two activities (`Request Documents`, `Documents Received`) are not in the expected model. This is an immediate conformance signal. --- ## 2. Data Quality **From the 2 visible cases:** | Issue | Detail | Severity | |---|---|---| | ✅ No timestamp reversals | All events within each case are chronologically ordered | Clear | | ✅ No duplicate events | No repeated (case_id, activity, timestamp) triplets | Clear | | ✅ No orphan activities | Every event belongs to a case with a start and end | Clear | | ⚠️ Truncated dataset | 480 cases referenced but not provided — **all downstream statistics are provisional** | **Critical** | | ⚠️ No `lifecycle:transition` column | Cannot distinguish activity *start* vs *complete* — waiting time calculations use timestamp-to-timestamp gaps as proxies | Moderate | | ⚠️ C001 has 7 events, C002 has 5 | Structural difference already visible in 2 cases — likely reflects real variant split in full log | Notable | | ℹ️ `finance` resource appears only in Payment Issued | Cannot assess finance team capacity from this slice | Informational | **Recommendation:** Paste the full 482-case CSV before acting on any frequency or bottleneck percentages. The structural findings below are likely directionally correct but not statistically confirmed. --- ## 3. Process Discovery ### Observed Trace Variants (from 2 cases) | # | Sequence | Cases | % | Label | |---|---|---|---|---| | 1 | Submit → Review → **Request Docs → Docs Received** → Assess → Approve → Pay | C001 | 50% ✅ | "Document Chase" variant | | 2 | Submit → Review → Assess → Approve → Pay | C002 | 50% ✅ | "Clean" / happy-path variant | > With a full 482-case log, expect this split to stabilize. If the document-chase variant holds at even 40–60%, it is your single largest driver of delay. ### Discovered Process Map ``` Start └─→ [Claim Submitted] (customer) └─→ [Initial Review] (agent_01/02) ├─→ [Request Documents] (agent) ──→ [Documents Received] (customer) │ └──────────────────────────────────────────────┐ │ ↓ └─→ [Assessment] (assessor_01/02) ←─────────────────┘ └─→ [Approved] (manager_01) └─→ [Payment Issued] (finance) └─→ End ``` - **Sequential core:** Submit → Review → Assess → Approve → Pay (present in both cases) - **Optional branch:** Request Documents → Documents Received (C001 only — inserted between Review and Assessment) - **Parallel activities:** None observed in 2 cases - **Loops:** None observed — but with 480 more cases, check whether `Request Documents` ever repeats (a second document request round would be a critical loop to identify) --- ## 4. Conformance Report **Expected process:** Submit → Review → Assess → Approve → Pay (5 steps, 7-day target) | Metric | C001 | C002 | Implication | |---|---|---|---| | Fitness (follows expected sequence end-to-end) | ❌ No | ✅ Yes | | | Deviation type | **Extra activities** inserted | None | | | Activities inserted | `Request Documents` + `Documents Received` | — | Not in expected model | | Sequence violation | No (order preserved otherwise) | No | | | Duration vs 7-day target | **+10.9 days over target** ✅ | **+5.1 days over target** ✅ | Both cases miss target | ### Key Conformance Findings **Even C002 — the perfectly conformant case — misses the 7-day target by 5+ days.** This means the SOP itself has an execution problem independent of deviations. The 7-day target is not being met even on the clean path. **C001's deviations add ~5–6 additional days** (documents were requested on Jan 6, received Jan 12 — a 5d 20h gap entirely attributable to customer response time). | Deviation | Cases (visible) | Business Impact | |---|---|---| | Document request loop inserted | 1 of 2 (50%) ✅ | Adds ~6 days; customer-dependent; unpredictable | | Payment lag after Approval | Both cases | C001: 7 days; C002: 8 days — finance step is slow regardless of path | | Assessment-to-Approval gap | Both cases | C001: ~19h; C002: ~22h — minor, consistent | --- ## 5. Bottleneck Analysis All waiting times computed as: `timestamp(next activity) − timestamp(current activity completion` ### Transition-by-Transition Wait Times **Case C001:** | Transition | Wait Time | ✅ | |---|---|---| | Claim Submitted → Initial Review | 1d 2h 18m | ✅ | | Initial Review → Request Documents | 2h 45m | ✅ | | Request Documents → Documents Received | **5d 19h 45m** | ✅ ⚠️ | | Documents Received → Assessment | 2d 5h 20m | ✅ | | Assessment → Approved | 18h 45m | ✅ | | Approved → Payment Issued | **6d 22h 55m** | ✅ ⚠️ | | **Total** | **17d 23h 48m** | ✅ | **Case C002:** | Transition | Wait Time | ✅ | |---|---|---| | Claim Submitted → Initial Review | 1d 5h 15m | ✅ | | Initial Review → Assessment | 1d 21h 0m | ✅ | | Assessment → Approved | 22h 30m | ✅ | | Approved → Payment Issued | **8d 4h 30m** | ✅ ⚠️ | | **Total** | **12d 5h 15m** | ✅ | ### Top 3 Bottlenecks (from visible data) | Rank | Bottleneck | Avg Wait | Max Wait | Type | Evidence | |---|---|---|---|---|---| | 🥇 1 | **Approved → Payment Issued** | **7d 13h** ✅ | 8d 4h (C002) ✅ | **Waiting / Resource** | Present in *both* cases; finance resource appears to batch or queue payments. 7+ day lag after approval is the single largest controllable delay. | | 🥈 2 | **Request Docs → Docs Received** | **5d 20h** ✅ | 5d 20h (C001 only) ✅ | **Waiting (external)** | Customer-dependent; no internal action possible during wait. Gap is between agent request and customer response — a service design issue, not a staffing one. | | 🥉 3 | **Documents Received → Assessment** | **2d 5h** ✅ | 2d 5h (C001 only) ✅ | **Waiting / Throughput** | After documents arrive, assessor_01 takes 2+ days to begin. Could reflect queue, workload, or batching behavior. | > **Important limit:** With only 2 cases, "average" means exactly 2 data points. These rankings are directionally credible but require the full 482-case log to be statistically actionable. --- ## 6. Answer to the Focus Question ### *"Why are claims averaging 18 days instead of 7?"* From the two fully observed cases, **two structural causes are already visible and likely explain the bulk of the gap across all 482 cases:** --- **Root Cause 1: The Payment Issuance step is not a payment — it's a queue (7–8 days)** Both C001 and C002, regardless of whether they had any deviations, waited **7–8 days between Approval and Payment**. The 7-day SLA target appears to assume Payment follows Approval quickly. It does not. This single transition consumes nearly the entire target cycle time *after* approval, meaning a claim could run a perfect 5-step process and still miss the 7-day target by a week. This points to a **finance batching practice, system release schedule, or authorization queue** that the SLA does not account for. **Contribution to delay:** ~7–8 days on every case, regardless of variant. --- **Root Cause 2: Document requests stall on customer response time (~6 days, ~50% of cases)** When an agent requests documents (as in C001), the process enters a state entirely outside internal control. The observed wait is nearly 6 days. If this variant represents even 40% of 482 cases, it adds 6 days to nearly 200 claims with no internal action possible during that window. **Contribution to delay:** ~6 additional days on the document-chase variant only. --- **Arithmetic check (C001):** | Segment | Days | |---|---| | Submit → Assessment start | 9.0 | | — of which: document wait | 5.8 | | Assessment + Approval | 1.1 | | Approval → Payment | 7.0 | | **Total** | **17.1** | The 7-day target implicitly requires: < 1 day to assessment, near-instant payment release. Neither is occurring even in the clean case. --- ## 7. What to Investigate Next | # | Question | Data Needed | |---|---|---| | 1 | **Does the finance payment lag apply to all 482 cases?** If yes, this is the single highest-ROI fix — restructuring payment release cadence could cut 7 days from every claim. | Full CSV — compute Approved → Payment Issued for all cases | | 2 | **What triggers a document request?** Is it claim type, claim value, or agent discretion? If predictable, pre-requesting documents at submission could eliminate the 6-day external wait. | Add `claim_type` and `claim_value` columns to the log | | 3 | **Is assessor capacity a constraint?** The 2-day gap after documents arrive (C001) could indicate assessor queue depth. | Resource-level analysis across all cases — count assessor workload at each timestamp | | 4 | **Are there cases beyond 18 days pulling the average up?** The max duration in 2 cases is 18 days — but with 482 cases there may be outliers at 30–60 days representing a third structural problem not yet visible. | Full CSV — sort by case duration descending, inspect top 10 | | 5 | **Does `Request Documents` ever repeat within a case?** A second round of document requests would compound the delay multiplicatively. | Count cases where `Request Documents` appears more than once | --- *Paste the full 482-row CSV to convert this structural diagnosis into statistically grounded findings. The bottleneck ranking above is likely to hold — but case counts, percentages, and resource-level analysis require the complete data.*