Site Reliability Engineers must write crystal-clear incident reports, post-mortems, and runbooks that guide critical system responses. Poor documentation can obscure root causes and extend outages when every second costs revenue.

Our assessments test candidates' ability to document SLIs vs SLOs, write coherent incident timelines, and communicate technical issues without ambiguity. We identify engineers who can create documentation that actually works under pressure.

Illustrative scenario

Misconfigured Load Balancer Documentation Causes Extended Outage

An SRE's incident report confused 'circuit breaker tripped' with 'load balancer failover,' leading the on-call team to investigate the wrong system components. The misdiagnosis extended a revenue-impacting outage by 47 minutes while engineers troubleshot healthy circuit breakers instead of the misconfigured load balancer.

A composite example of a failure mode that is common in Site Reliability Engineering. It is not an account of a real client engagement and no real organisation is described.

Documents You'll Be Testing

Post-mortem report
Runbook procedure
SLO definition document
Incident response playbook
Capacity planning report
Service dependency map

Avoid These Common Editorial Mistakes

Confusing SLI metrics with SLO targets

Incorrect error budget calculations and premature deployment freezes

Imprecise incident timeline sequencing

Masked root causes and ineffective prevention measures in post-mortems

Ambiguous escalation criteria in runbooks

Delayed incident response and inappropriate severity classifications

Mixing deployment terminology

Incorrect rollback procedures and extended service degradation

Vague capacity planning language

Under-provisioned resources and preventable performance bottlenecks

Master These Key Terms

SLI vs SLO
Failover vs Fallback
Circuit breaker vs Load balancer
Blue-green deployment vs Canary deployment
MTTR vs MTBF

Smart Hiring Strategies

Look for candidates who can distinguish between SLIs, SLOs, and SLAs in writing scenarios. Test their ability to sequence incident timelines and describe system states with operational precision—'degraded' vs 'failed' matters during outages.

SRE documentation directly impacts incident response speed and learning from failures. Ambiguous language misdirects on-call teams, while imprecise metrics reporting can hide performance issues until they become customer-facing disasters.

Frequently Asked Questions

How technical should SRE candidates' writing be for our mixed technical audience? ↓
SRE candidates need to adapt complexity based on audience—technical depth for engineering teams, but executive summaries for business stakeholders. Test their ability to explain system impacts in both quantified technical terms and business consequences.
What writing mistakes in SRE candidates indicate they'll struggle with incident response? ↓
Watch for confusion between monitoring concepts (SLI vs SLO), imprecise timeline documentation, and vague impact descriptions. These errors suggest candidates may misdirect incident response efforts or fail to capture learnings for prevention.
Should we test SRE candidates on documentation for compliance and audit purposes? ↓
Yes, especially for regulated industries. SREs often document change management procedures, incident response for compliance reporting, and availability metrics for audit trails. Test their precision with regulatory terminology.
How do we evaluate if SRE candidates can write for automation and tooling integration? ↓
Test candidates on structured documentation that feeds into monitoring dashboards, alerting systems, and incident management tools. Look for consistent formatting, precise status classifications, and standardized metric definitions that integrate with automated workflows.
What level of business writing skills do SRE candidates need beyond technical documentation? ↓
SREs regularly write executive incident summaries, capacity planning justifications, and reliability improvement proposals. Test their ability to translate technical system impacts into business terms like revenue impact, user experience degradation, and operational cost implications.