Operations Report Synthesizer

What it does

The Operations Report Synthesizer takes a period's worth of raw operational data (ticket dump, call/IVR log, monitoring alerts, service-desk export) from an IT-service / NOC / assistance / call-center operation and answers — anchored to numbers — the question "what happened this week, where did we get stuck, and what one fix recovers the most?" It does not fill tables; it builds an event → cause → lever chain.

The pipeline runs on five real frameworks: (1) ITIL 4 classifies each record as incident / service request / problem — measuring a password-reset request against incident SLA produces a false red, which is prevented. (2) Google SRE error budget: if resolution compliance falls below target, that category's error budget is spent → stabilization is prioritized over new work; FRT and resolution SLA are measured separately. (3) Pareto (80/20) + 5-Whys / Ishikawa RCA: the ~20% of categories/customers/hours producing 80% of volume or breaches is found, and 5-Whys is applied to the top 1-2 bottlenecks to reach root cause, not symptom. (4) Erlang-C / queueing theory: on live channels, sustained occupancy >85% is read as the mathematical signature that wait time will explode (A = λ·AHT). (5) SPC control band: a μ ± 2σ band over the last 6-8 periods separates special cause (investigate) from noise (don't panic).

The result is summarized as a 0-100 weighted Operations Health Score with a verdict (Healthy / Watch / At-risk / Critical); every finding carries number + direction + meaning.

When to use it

You have a period of ticket/call/monitoring data and want a decision-ready summary: was SLA met, where did volume shift, which category is eating the operation, what to fix first. Fits weekly operations reviews, management briefs, shift handovers, capacity/staffing debates, or post-SLA-breach "what happened" analysis.

Method / frameworks

ITIL 4 (Axelos) incident/request/problem management · Google SRE Book/Workbook (SLO, error budget, MTTR, toil) · ISO/IEC 20000-1 IT service management · Juran/Ishikawa quality canon (Pareto, fishbone, 5-Whys) · Erlang-C / queueing theory (occupancy, A=λ·AHT) · SPC statistical process control (μ±2σ). Formulas are real: SLA compliance % = (closed within SLA / total closed)×100; backlog ratio = opened/closed; MTTR = Σ(close−open)/closed count. Sector SLA ranges are benchmarks only; the user's own target governs when provided — estimates are never presented as certainty, and missing evidence is written to gaps.