QA engineering keep facing several hurdles when it comes to quality and time. From Reddit subgroup to ycombinator blogs, QA pain-points are yet to be solved as I navigate through several pages. While big players like SmartBear, BrowserStack are building innovative test solutions, a larger part of QA workflow remain unsolved. https://peterblanco.com/startup/quiet-crisis-in-qa-more-code...
QA engineers hate:
- typing reproduction steps
- taking screenshots
- explaining what happened
- capturing network logs manually
- writing clean bug reports
- forgetting to write down something important
WhispaQA records interactions, intents not content, understands flow, interprets them in natural language, allow user to select mode of capture, write clean reports based on what it learns from a session, that automates 50-60% of manual tasks in QA. QA engineers don't have to write down steps, flow, manually log network activities, take screenshots, etc., when they can launch an assistant for that
QA engineering keep facing several hurdles when it comes to quality and time. From Reddit subgroup to ycombinator blogs, QA pain-points are yet to be solved as I navigate through several pages. While big players like SmartBear, BrowserStack are building innovative test solutions, a larger part of QA workflow remain unsolved. https://peterblanco.com/startup/quiet-crisis-in-qa-more-code...
QA engineers hate: - typing reproduction steps - taking screenshots - explaining what happened - capturing network logs manually - writing clean bug reports - forgetting to write down something important
WhispaQA records interactions, intents not content, understands flow, interprets them in natural language, allow user to select mode of capture, write clean reports based on what it learns from a session, that automates 50-60% of manual tasks in QA. QA engineers don't have to write down steps, flow, manually log network activities, take screenshots, etc., when they can launch an assistant for that
Your thoughts?