When a mobile test fails, the difference between guessing and fixing comes down to evidence. Teams don’t just need a pass/fail signal; they need to see exactly what happened, when it happened, and why the system made each decision. Platforms that provide complete, structured test artifacts turn automation into something teams can actually trust.
Drizz captures the full execution trail of every automated mobile test run, producing logs, videos, screenshots, and contextual metadata that make failures immediately understandable instead of opaque.
Step-Level Logs With Execution Context
Each test run generates detailed, ordered logs tied to individual steps. Logs include timestamps, execution state, inferred intent, and the outcome of every action and validation. Instead of raw system noise, logs are grouped by test case, device, and run ID, so teams can trace failures without sifting through unrelated output.
Every step records what the system attempted, what it observed on the screen, and whether the expected condition was met. This turns logs into an explanation of behavior, not just a record of commands.
Full Test-Run Video Playback
Every automated run is recorded end-to-end, producing a continuous video of the actual device screen during execution. Teams can replay the full flow, pause at failure points, and visually confirm UI state, transitions, and timing issues.
Videos stay synchronized with test steps, making it easy to jump directly to the moment a failure occurred rather than scrubbing blindly through footage.
Automatic Screenshots With Before/After State
Screenshots are captured automatically at critical moments, including before and after each step and at failure boundaries. This provides visual confirmation of UI state changes, missing elements, incorrect layouts, or unexpected interruptions like pop-ups.
Because screenshots are tied to specific steps, teams can see exactly how the screen differed from expectations at the point of failure.
AI-Generated Failure Reasoning
Beyond raw artifacts, Drizz attaches structured reasoning to failed steps. When a test cannot proceed, the system explains what it detected on screen, what it expected to find, and why the action was blocked or ineffective.
This reasoning sits alongside logs and screenshots, giving teams immediate clarity without rerunning tests or recreating issues manually. A real example of this execution-level reasoning can be seen in Drizz’s automated test walkthroughs.
Unified Artifact Bundles Per Run
All artifacts - logs, videos, screenshots, device details, and execution metadata - are grouped under a single test-run record. Each run has a unique identifier, making it easy to reference in CI pipelines, bug trackers, or team discussions.
Artifacts are stored consistently across manual runs, scheduled regressions, and CI-triggered executions, so teams always know where to find evidence for any result.
Built for CI and Team Workflows
Test artifacts are designed to travel. Logs and media can be accessed through the UI or exported via APIs for CI dashboards, issue trackers, and internal reporting. Slack and pipeline notifications link directly to failed runs, so engineers jump straight from alert to evidence.
This makes automated testing usable across QA, engineering, and product teams, not just the people who wrote the test.
Automated mobile testing only works when results are explainable. By pairing execution with complete logs, synchronized video, step-level screenshots, and explicit failure reasoning, Drizz turns every test run into a clear, auditable record of what happened on real devices and why.
