Use cases/Ops + internal teams

Incident Report

Document what happened with structured timeline and impact.

The problem with incident reports

  • Reports inconsistent depending on who writes them
  • Missing timeline or impact data
  • Root cause analysis is an afterthought
  • Hard to compare incidents for patterns

How NativeForm fixes this

  • Guided questions ensure consistent structure
  • Timeline extraction: 'when detected, when resolved'
  • Impact quantification: users affected, revenue impact
  • Root cause categorization for pattern analysis

Describe it. AI builds it.

Tell NativeForm what you need. It generates the right questions. When users struggle to answer, AI helps them go deeper to give you richer, more complete responses.

You say

"I need an incident report form for production issues"

NativeForm generates
  • What happened?
  • When was it detected and when was it resolved?
  • What was the impact?
  • What caused it?
  • What can we do to prevent this?

Smart Fields: insights, not just data

Define what you want to extract. AI reads each response and computes actionable fields: sentiment, urgency, categories, scores. No manual tagging, ever.

Severity

Prompt: Based on impact: sev1 (critical), sev2 (major), sev3 (minor), sev4 (low)

Response says

"1,200 failed transactions, payment service down"

sev1
Category

Prompt: Root cause type: infrastructure, code, config, external, human-error

Response says

"Database connection pool was exhausted"

infrastructure

Checkbox data vs real insights

AI helps users articulate what they really mean. The result: responses you can actually act on.

Traditional incident report
Title: Payment API outage
Detected: Jan 5 afternoon
Resolved: Jan 5
Impact: Some payments failed
Root cause: Database issue
Contributors: Traffic spike
Prevention: Add monitoring
NativeForm incident
Title: API outage - payment service
Detected: Jan 5, 2:15pm EST
Resolved: Jan 5, 3:45pm EST (1.5hr duration)
Impact: 1,200 failed transactions, ~$45k revenue delayed
Root cause: Database connection pool exhausted
Category: infrastructure (Smart Field)
Contributors: Traffic spike from marketing campaign
Prevention: Add connection pool monitoring
Severity: sev1 (Smart Field)

Now, act on it

This is where it all comes together. Smart Fields become triggers. Route urgent issues instantly. Alert the right team based on sentiment. Update your CRM with qualified leads. All automatic, all based on AI understanding.

Make
n8n
New incident
Log to incidents database
If Severity = sev1AI
Page on-call + create war room
If Severity = sev2AI
Alert engineering lead
If Category = infrastructureAI
Notify SRE team

Works with 1000+ apps via Make, n8n, and Zapier

+ more

Ready to transform your incident report?

Request early access and tell us about your use case. We'll help you set up a form that actually works.

Request early access

The early access form is built with NativeForm.