Use case
Feature adoption video for Data platforms
Show adoption progress when usage crosses a threshold or milestone.
Why Data platforms teams still ship reports manually
- Data reliability updates are buried in logs.
- Stakeholders lack visibility into pipeline health.
- Manual status emails take too long.
- Incidents need a consistent recap format.
Automate feature adoption video with an API
- Trigger the workflow when feature adoption crosses a threshold happens.
- POST structured data to /render using template feature-adoption-v1.
- Render asynchronously at scale and receive a webhook when the MP4 is ready.
- Deliver the video via email, ops dashboard, or Slack.
Input (structured data)
{
"brand": "data-platforms",
"data": {
"adoptionRate": "example-adoptionRate",
"cohorts": "example-cohorts",
"cost": 8420,
"dataVolume": 128,
"featureName": "example-featureName",
"highlight": "pipelines",
"period": "2026-01-14",
"pipelinesSucceeded": 932,
"queryCount": 42000,
"slaBreaches": 3
},
"template": "feature-adoption-v1"
}Output (deterministic MP4)
- 30-60s MP4 video
- Cohort adoption breakdown
- Trend lines and deltas
- Webhook with output URL
Architecture
Data source / event | v Rendivia Render API | v Queue + Workers | v Remotion templates | v Branded MP4 + webhook
How it works
Collect adoption data
Provide adoption by cohort and growth delta.
Render
POST to /render with feature-adoption-v1.
Async output
We render and notify when ready.
Distribute
Share with product or GTM teams.
Benefits
- Automate data reliability and pipeline updates.
- Make dataset health visible at a glance.
- Deterministic output you can trust in production.
- A repeatable workflow triggered by feature adoption crosses a threshold.
Common questions
Can I compare cohorts?
Yes. Provide cohort arrays; the template compares them.
Does it work for multiple features?
Yes. Render per feature for deterministic outputs.
Related
Generate feature adoption video via API
Create an API key and render your first feature adoption video in minutes.
Get API key