Difference between revisions of "MeasureChatWiki talk:About"
Dylanlewis (talk | contribs) (Created page with "In the project page, the limit of 10K messages retained in the slack channel is cited as a limiting factor. Is there a way automatically harvest the last 10K messages every w...") |
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In the project page, the limit of 10K messages retained in the slack channel is cited as a limiting factor. Is there a way automatically harvest the last 10K messages every week? Then we could go back and see what articles/discussions were had prior to the creation of the wiki and do some interesting analyses of the data around the community. | In the project page, the limit of 10K messages retained in the slack channel is cited as a limiting factor. Is there a way automatically harvest the last 10K messages every week? Then we could go back and see what articles/discussions were had prior to the creation of the wiki and do some interesting analyses of the data around the community. | ||
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| + | All public channel conversations (text, not other content) are automatically captured via webhooks sent to a modified version of [[https://github.com/lisensee/slackalytics/ Slackalytics]] into a MongoDB for raw storage. Private conversations (DMs and Private Channels) and Local Channels (#local-xxx) are not captured. The raw data is primarily used to double check any complaints for historical context to the problem, searching for one-off items at a users' request, and to occasionally gather metrics on user engagement. | ||
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| + | The short answer is, no. There are solutions that I believe do what you are looking for but they cost money, something that Measure Slack is already running into issues with. | ||
Latest revision as of 18:06, 17 January 2018
In the project page, the limit of 10K messages retained in the slack channel is cited as a limiting factor. Is there a way automatically harvest the last 10K messages every week? Then we could go back and see what articles/discussions were had prior to the creation of the wiki and do some interesting analyses of the data around the community.
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All public channel conversations (text, not other content) are automatically captured via webhooks sent to a modified version of [Slackalytics] into a MongoDB for raw storage. Private conversations (DMs and Private Channels) and Local Channels (#local-xxx) are not captured. The raw data is primarily used to double check any complaints for historical context to the problem, searching for one-off items at a users' request, and to occasionally gather metrics on user engagement.
The short answer is, no. There are solutions that I believe do what you are looking for but they cost money, something that Measure Slack is already running into issues with.
