Forum Discussion

aopie1527's avatar
aopie1527
Active Member
14 days ago

System-led QA with Braze

Hi there! 

Our team has had a few incidents where emails have been sent to the wrong audience (i.e. filtering didn't save, filtering never added, duplicate tabs open, etc). We've implemented a number of human-led QA processes (see below) but we want to implement system-level guardrails as well. Does anyone know of a) Braze features that would let us do this or b) hacky ways that involve our engineering team? Any/all help would be GREATLY appreciated!

What we plan to implement:

  • formal QA process (including live QA)
  • Braze approval process
  • Audience and rate limits
  • Datadog alerts for post launch if anything sends to audience >10K

 

Administrative
experimentation
  • rayelkho's avatar
    rayelkho
    Practitioner III
    14 days ago

    There are some options that require some technical skills. I've seen other people in the community use the Export Canvas details to pull all the details of the canvas that are relevant to create an overview for QA. Braze has Approval workflows that can help if you have permission groups configured (which you plan on doing). Braze Teams can also be useful in creating certain default filters (e.g. Team US has a country = US filter applied to everything). 

    In terms of a Datadog alters, you can leverage the Export Canvas data summary analytics or Export Canvas data series analytics endpoints + connected content and webhooks to fire an API triggered campaign (to Slack or an email to a shared inbox) to create an alert. Another options to use Currents data to build some sort of alerting mechanism. 


    Overall, it all comes down to process and building good habits. From my experience, peer reviews are more useful than QA checklists for complex campaigns. Different QA checklist for different phases (HTML/content, campaign audience review, campaign overview).

    Hope this helps!