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Capture Bugs and Enhancements with Video Feedback

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Manage episode 379491717 series 3302232
Content provided by Sean Boyce. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Boyce or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Summary
In this episode, Sean discusses the power of using Loom, a video capture tool, to obtain feedback that is efficient and effective. He emphasizes the importance of visual communication and demonstrates how Loom can be utilized to capture bugs and suggest enhancements for software. By leveraging this tool, users can save time and effortlessly share valuable feedback with their development teams.

Key Points

  • Loom is a video capture tool that simplifies the process of capturing and sharing feedback for software.
  • Video format is more effective in communicating issues compared to verbal explanation.
  • Loom videos enable clear demonstration of bugs, their replication, and desired fixes.
  • Using Loom videos reduces the need for time-consuming one-on-one meetings with development teams.
  • Loom can also be used for usability testing, allowing users to navigate software and provide valuable feedback asynchronously.
  • The ease of use and shareability of Loom make it an ideal tool for gathering feedback and making software improvements.
  • Engaging power users to record videos about desired functionality can provide additional valuable feedback.

Quotes

  • "Having the video and making the video easily accessible is crazy important for sharing feedback for all the parties involved."
  • "Trying to explain it to them verbally is never really gonna be as effective as if you show them visually."
  • "People are visual learners for the most part, and a lot of folks still don't really understand that."

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Notes generated by Podcast Show Notes (podcastshownotes.ai)

  continue reading

313 episoade

Artwork
iconDistribuie
 
Manage episode 379491717 series 3302232
Content provided by Sean Boyce. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sean Boyce or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Summary
In this episode, Sean discusses the power of using Loom, a video capture tool, to obtain feedback that is efficient and effective. He emphasizes the importance of visual communication and demonstrates how Loom can be utilized to capture bugs and suggest enhancements for software. By leveraging this tool, users can save time and effortlessly share valuable feedback with their development teams.

Key Points

  • Loom is a video capture tool that simplifies the process of capturing and sharing feedback for software.
  • Video format is more effective in communicating issues compared to verbal explanation.
  • Loom videos enable clear demonstration of bugs, their replication, and desired fixes.
  • Using Loom videos reduces the need for time-consuming one-on-one meetings with development teams.
  • Loom can also be used for usability testing, allowing users to navigate software and provide valuable feedback asynchronously.
  • The ease of use and shareability of Loom make it an ideal tool for gathering feedback and making software improvements.
  • Engaging power users to record videos about desired functionality can provide additional valuable feedback.

Quotes

  • "Having the video and making the video easily accessible is crazy important for sharing feedback for all the parties involved."
  • "Trying to explain it to them verbally is never really gonna be as effective as if you show them visually."
  • "People are visual learners for the most part, and a lot of folks still don't really understand that."

Free Email Course

Connect with Sean

Notes generated by Podcast Show Notes (podcastshownotes.ai)

  continue reading

313 episoade

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