Suggestions

:speech_balloon:

Spring cleaning: identifying unused or barely used factors & being able to merge them with others, move them to other categories, etc

Whenever has been using Bearable for some time has probably collected a number of factors, custom or default ones.

It would br great if Bearable offered an interface for better “spring cleaning”, that is, a way for users to quickly figure out which factors haven’t been used as much pensa recently, and to allow users to merge them with other factors (as well as reorganize them in other categories, which we can already currently do through other means).

This would help to simplify things and reduce option overwhelm in our personal Bearable taxonomies.

Thanks for any advice, hints or tips, and have a nice weekend!

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  • 29 March 2023 APFFN suggested this task

  • avatar
    Eoghan

    Thank you so much for taking the time to submit your request to our roadmap. We appreciate your feedback and suggestions. We do review all the submissions we receive, but as a small team, we have to prioritize what goes into our immediate roadmap to match our current capacity. Rest assured that we will carefully consider your request, and we’ll keep it in mind as we continue to develop and improve our product. Please feel free to reach out to us if you have any other suggestions or feedback. Thank you again for supporting Bearable.

    12 April 2023

  • 15 April 2023 Eoghan approved this task

  • avatar
    Bearable Youser

    A good alternative in the meantime would be to clear any data so that those factors don’t appear in Insights/correlations. I set up a bunch when I first started using the app which I am no longer interested in.

    13 October 2023
  • avatar
    Elspeth Furey

    Interested in this feature for sure. Basically if you haven’t used a factor in months some way to know that so you can clean up and simplify

    16 October 2023
  • avatar
    Bearable Youser

    Currently you can go factor-by-factor, listing it in the calendar then go to that date and manually remove - quite time consuming.

    02 December 2023
  • avatar
    Kim

    A big win already would be if one could merge/replace factors with another one, without the suggestion which factors are hardly used etc…

    29 January