"Telemetry is one of the easiest ways to go from dumping in your data to actually understanding it."
Shayan Taslim
Founder, LogSnagConfirmed context
This page separates published feedback from the general pattern other teams can apply.
- Shayan Taslim is the founder of LogSnag.
- He describes sending raw data and analyzing it in Telemetry.
- His feedback includes no event volume, query timings, or measured business results.
Repeatable pattern
How a team with the same need can start
Start with one decision
Choose a question such as which webhook failures remain unresolved or which activation step loses the most accounts. Use it to decide when to log and which fields to include.
Keep the event rows
Store events with typed fields so you can query individual rows as well as totals.
Save the query after checking it
Check the SQL against test cases with known results. Then save it as a chart, dashboard widget, alert, or scheduled report.
Try a similar workflow
Test the workflow with your own events
The examples below are a practical evaluation plan derived from the published workflow. They are not claims about the customer's implementation, event schema, or results.
Question and event fields
Is the event stream current enough to trust?
ingestion_observation with source, environment, event_name, timestamp_utc, and received_at
Validation check
Send a timestamped fixture and verify receipt, schema, sample rows, and freshness before analyzing the workflow.
Question and event fields
Which failures still need action?
workflow_completed with workflow_id, status, error_type, attempt, duration_ms, and account_id
Validation check
Include known first-attempt failures and recovered retries so the query distinguishes attempts from final outcomes.
Question and event fields
Can another person reproduce the answer?
Use typed, documented fields with explicit units and stable identifiers
Validation check
Save the reviewed SQL beside its definition, time window, exclusions, and expected fixture result.
SQL recipes for this workflow
Measure event ingestion freshness
Find event sources that stopped delivering data or are arriving substantially later than they occurred.
Calculate API error rate by route
Rank API routes by 5xx error rate. Exclude routes with fewer than 20 requests so one failure does not dominate the results.
Build a signup-to-activation funnel in SQL
Calculate unique-user conversion through signup, onboarding, integration, and first-value milestones.
Use these queries in Telemetry
Learn about Dashboards
Save a product or revenue query to a dashboard your team can check.
Send events and query the results
Create an API key, instrument one meaningful workflow, and turn the first reviewed query into a chart or report.
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