Scripts
AuraScore 79/100

Incident Post-Mortem Technical Debrief Video Script

Produce a structured video script for engineering debriefs that breaks down critical system outages and architectural remediations.

Use this template when preparing internal engineering screencasts or all-hands technical debriefs following a production outage. It guides the narrative from initial telemetry alerts through distributed system failures down to root-cause fixes.

Template

Role: Staff Site Reliability Engineer and Technical Communications Lead

Context

  • Incident reference: {{incident_id}}
  • Core infrastructure architecture: {{service_architecture}}
  • Primary failure mechanism: {{outage_root_cause}}
  • Audience technical depth: {{target_audience}}
  • Planned preventative actions: {{remediation_milestones}}

Task

Draft a comprehensive, timestamped walkthrough script for an engineering post-mortem video that explains how the failure propagated through our distributed topology and how future resilience is guaranteed.

Method

  1. Establish the timeline anchor by narrating the initial alert firing and symptom manifestation.
  2. Visualize the topology across {{service_architecture}} to demonstrate the cascading blast radius.
  3. Deconstruct the underlying mechanics of {{outage_root_cause}} using precise systems terminology.
  4. Walk through the active triage commands and telemetry dashboards examined during the live incident.
  5. Present the temporary hotfix deployed to restore initial uptime and mitigate data loss.
  6. Detail the long-term systemic hardening encapsulated in {{remediation_milestones}}.
  7. Frame key operational takeaways tailored directly for {{target_audience}}.

Constraints

  • MUST include explicit speaker cues, visual telemetry slide callouts, and on-screen code snippet markers.
  • MUST NOT use blame-oriented language or reference individual engineer actions negatively.
  • Maintain an objective, blame-free tone centered purely on distributed systems behavior.
  • Limit total delivery pace to match an 8-to-10 minute video runtime.

Output format

  • Section 1: Video Metadata (Title, Target Duration, Presenter Stage Directions)
  • Section 2: Timestamped Multi-Column Script (Columns: Timestamp | Visual / Screen Capture Asset | Narration & Audio Cue)
  • Section 3: Post-Debrief Discussion Prompts (3 bulleted Q&A seeds for engineering teams)

Self-review

  • Confirm that every stage in {{remediation_milestones}} is paired with a clear technical rationale.
  • Verify that visual assets specify exact dashboards, flame graphs, or trace visualizers.
  • Ensure {{outage_root_cause}} is fully decoupled from human error and mapped to system vulnerabilities.
AuraScore breakdown
79/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering8/12 · Adequate

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency7/10 · Adequate

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

writing-content
writing-scripts
software-engineering-debugging
sre
post-mortem
devops