Ashok Kumar: Art of Communicating Quality
summary
A test-reporting framework is described that pulls data from Jira + Jenkins + PostGIS APIs, transforms it with rule-based mappings, and publishes Grafana dashboards plus scheduled Grafana screenshots sent by RPA; smoke checks run daily and about 70% of manual executions are now included in automated reports. A stakeholder survey of 100 C‑level execs yields 85% response and shows divergent quality narratives, and ongoing ML work aims to predict environment stability and detect flaky tests.
AI-written summary · about
chapters (8)
- 0:00Communicating quality
- 1:09Stakeholder perspectives
- 7:44Future test reporting
- 13:08Test reporting challenges
- 19:52Custom reporting framework
- 25:15Reporting evolution stages
- 31:39AI in reporting
- 35:12Q&A
related talks
52mNavigating Software Quality - From Chaos to Control
49mPanel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
31mScaling Quality in a Decision Intelligence Platform: The Agentic QA Playbook
14mThinking of Quality as developer productivity tool
18mThe evolution of Quality Engineering
41mThe Tester’s Guide to Quality
50mThe End of Testing as We Know It
12mConvergent Quality Engineering
