Slow Thinkerreport rund7442a5f-fd3b-438a-8816-91f4625f2492study 5x3 completed

Incident management process

Started 2026-09-21 02:48 · 18 min 25 s
A B2B payments platform in New York (260 engineers in 28 teams, 2,100 customers, $4B processed a month, a 99.95% SLA with service credits) runs about 180 services on Kubernetes across two AWS regions, with a shared PostgreSQL cluster for the ledger. In the last 12 months: 31 customer-impacting incidents, median time to detect 22 minutes (customers detected 40% of them first), median time to mitigate 3 h 10 min, $1.3M paid in SLA credits, two incidents in which nobody was sure who was in charge for over an hour, and a CEO email about "outages we hear about from clients". On-call exists in 12 of the 28 teams, unpaid, fed by alerts from six different tools — 3,400 alerts a month, 85% of them noise; there is no severity scale, status-page updates are written by whoever is around, and postmortems happen for some incidents, in various formats, with action items that are rarely tracked (11 of 64 closed). A SOC 2 Type II audit in eight months will test incident response. Engineers push back against "carrying a pager for other teams' code". Define the incident management process: severity levels and what each one triggers; roles (incident commander, communications, scribe, subject-matter responders) and how they are staffed 24x7 across 28 teams; the on-call structure, rotations, compensation and the rules for alert quality; detection and escalation paths; internal and customer communications (status page, account managers, regulators when required) with their timings; postmortems (when mandatory, format, blameless review, ownership and tracking of actions); the metrics and reviews that show whether it works; and how it is introduced across the teams without waiting for the audit.

Run

Id
d7442a5f-fd3b-438a-8816-91f4625f2492
Prompt
Incident management process 52c3ad01110cde42
Configuration
study 5x3 97fce665f0005a7b
Loaded from
slow-thinker.keys.jsonslow-thinker.base.jsonslow-thinker.study.json
Made with
Process executor 0.1.5 · slow-thinker 0.1.0 · trace format 2
This page
Report generator 0.1.16 · Analysis generator 0.1.3 · schema v5 · slow-thinker 0.1.0
Status
completed
Started
2026-09-21 02:48
Duration
18 min 25 s

Council

Proposers
5
Refinement rounds
3
Voters
5
Selected plan
opus5_refine_1 · 4 of 5 votes · 35 steps

Plan cost

6.46 USD

25 calls · 907.6k in · 269.2k out

what obtaining the plan cost: running slow-thinker costs exactly this

Analysis LLM analysis

6.49 USD

judge · anthropic/claude-opus-5 · adaptive thinking, effort max · 8 calls

optional evaluation, made afterwards by slow-thinker-report --analyze; it does not change the plan

Models of the council

ModelThinking
deepseek-v4-pro · deepseek/deepseek-v4-prothinking on, effort high
gpt5.6-sol · openai/gpt-5.6-solreasoning effort high
grok4.6 · xai/grok-4.6reasoning effort high
opus5 · anthropic/claude-opus-5adaptive thinking, effort high
qwen3.8-max · alibaba/qwen3.8-maxthinking on, budget 16.0k tokens

Analyses of this run

#DateAnalystSchemaAnalysis generatorCallsCostVerdict on the voteReport
1 2026-09-21 03:21 judge · anthropic/claude-opus-5
adaptive thinking, effort max
v5 0.1.3
slow-thinker 0.1.0
8 6.49 USD agrees this page

Every analysis is kept; the newest is the one report.html shows, each earlier one has its own page.

Task

A B2B payments platform in New York (260 engineers in 28 teams, 2,100 customers, $4B processed a month, a 99.95% SLA with service credits) runs about 180 services on Kubernetes across two AWS regions, with a shared PostgreSQL cluster for the ledger. In the last 12 months: 31 customer-impacting incidents, median time to detect 22 minutes (customers detected 40% of them first), median time to mitigate 3 h 10 min, $1.3M paid in SLA credits, two incidents in which nobody was sure who was in charge for over an hour, and a CEO email about "outages we hear about from clients". On-call exists in 12 of the 28 teams, unpaid, fed by alerts from six different tools — 3,400 alerts a month, 85% of them noise; there is no severity scale, status-page updates are written by whoever is around, and postmortems happen for some incidents, in various formats, with action items that are rarely tracked (11 of 64 closed). A SOC 2 Type II audit in eight months will test incident response. Engineers push back against "carrying a pager for other teams' code".

Define the incident management process: severity levels and what each one triggers; roles (incident commander, communications, scribe, subject-matter responders) and how they are staffed 24x7 across 28 teams; the on-call structure, rotations, compensation and the rules for alert quality; detection and escalation paths; internal and customer communications (status page, account managers, regulators when required) with their timings; postmortems (when mandatory, format, blameless review, ownership and tracking of actions); the metrics and reviews that show whether it works; and how it is introduced across the teams without waiting for the audit.

About this run

Run

Id
d7442a5f-fd3b-438a-8816-91f4625f2492
Prompt
Incident management process 52c3ad01110cde42
Configuration
study 5x3 97fce665f0005a7b
Loaded from
slow-thinker.keys.jsonslow-thinker.base.jsonslow-thinker.study.json
Made with
Process executor 0.1.5 · slow-thinker 0.1.0 · trace format 2
This page
Report generator 0.1.16 · Analysis generator 0.1.3 · schema v5 · slow-thinker 0.1.0
Status
completed
Started
2026-09-21 02:48
Duration
18 min 25 s

Council

Proposers
5
Refinement rounds
3
Voters
5
Selected plan
opus5_refine_1 · 4 of 5 votes · 35 steps

Plan cost

6.46 USD

25 calls · 907.6k in · 269.2k out

what obtaining the plan cost: running slow-thinker costs exactly this

Analysis LLM analysis

6.49 USD

judge · anthropic/claude-opus-5 · adaptive thinking, effort max · 8 calls

optional evaluation, made afterwards by slow-thinker-report --analyze; it does not change the plan

Models of the council

ModelThinking
deepseek-v4-pro · deepseek/deepseek-v4-prothinking on, effort high
gpt5.6-sol · openai/gpt-5.6-solreasoning effort high
grok4.6 · xai/grok-4.6reasoning effort high
opus5 · anthropic/claude-opus-5adaptive thinking, effort high
qwen3.8-max · alibaba/qwen3.8-maxthinking on, budget 16.0k tokens

Analyses of this run

#DateAnalystSchemaAnalysis generatorCallsCostVerdict on the voteReport
1 2026-09-21 03:21 judge · anthropic/claude-opus-5
adaptive thinking, effort max
v5 0.1.3
slow-thinker 0.1.0
8 6.49 USD agrees this page

Every analysis is kept; the newest is the one report.html shows, each earlier one has its own page.

Task

A B2B payments platform in New York (260 engineers in 28 teams, 2,100 customers, $4B processed a month, a 99.95% SLA with service credits) runs about 180 services on Kubernetes across two AWS regions, with a shared PostgreSQL cluster for the ledger. In the last 12 months: 31 customer-impacting incidents, median time to detect 22 minutes (customers detected 40% of them first), median time to mitigate 3 h 10 min, $1.3M paid in SLA credits, two incidents in which nobody was sure who was in charge for over an hour, and a CEO email about "outages we hear about from clients". On-call exists in 12 of the 28 teams, unpaid, fed by alerts from six different tools — 3,400 alerts a month, 85% of them noise; there is no severity scale, status-page updates are written by whoever is around, and postmortems happen for some incidents, in various formats, with action items that are rarely tracked (11 of 64 closed). A SOC 2 Type II audit in eight months will test incident response. Engineers push back against "carrying a pager for other teams' code".

Define the incident management process: severity levels and what each one triggers; roles (incident commander, communications, scribe, subject-matter responders) and how they are staffed 24x7 across 28 teams; the on-call structure, rotations, compensation and the rules for alert quality; detection and escalation paths; internal and customer communications (status page, account managers, regulators when required) with their timings; postmortems (when mandatory, format, blameless review, ownership and tracking of actions); the metrics and reviews that show whether it works; and how it is introduced across the teams without waiting for the audit.