Announcement: Cancelation Policy Update July 2023
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@Mina-0 Thanks for this reminder. But ugh, I hate math. That already sounds confusing. I'm also confused that cancelling green dots would factor in this 6% equation?
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@Lisa-276 if you are teaching back to back 25 min classes, sometimes it is inevitable you forget to open that second tab
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@Lisa-276 I think it does include green dots cancellations. It'd be good to have that confirmed by one of the TPRs.
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I have noticed a similar pattern to what @Alistair is fearful about cancelling. When I cancel green slots within 72 hours or even urgent green slots, I get more 45-minute or cram classes.
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@Lisa-276 I think the green dots are dependent on 'how' they are cancelled. If they were manually added and you can just 'untick' them, they don't count. But if you actually have to make a cancellation, then they do. That's how I interpreted it.
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@Alia-9 That is my thoughts so I just don't it!
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@Deborah-0 But what Marco is saying is that it doesn't. Hmmm
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@Deborah-0 在 Announcement: Cancelation Policy Update July 2023 中說:
@Lisa-276 I think the green dots are dependent on 'how' they are cancelled. If they were manually added and you can just 'untick' them, they don't count. But if you actually have to make a cancellation, then they do. That's how I interpreted it.
You can cancel a green dot (no matter how it got to be on your MSP) without any consequence. The only caveat is that if it's less than 4 hours ahead, there will be a penalty for a last-minute cancellation.
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@Matthew-A OK, so just to be absolutely a**l about it...Canceling green dots has 0 effect on the 6% matter?
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@Lisa-276 在 Announcement: Cancelation Policy Update July 2023 中說:
@Matthew-A OK, so just to be absolutely a**l about it...Canceling green dots has 0 effect on the 6% matter?
In what I (and the other TPRs) have been told on a few occasions and also experienced - correct, 0 effect on making you invisible to your followers (6% cancellation rule).
It may slightly impact one of the factors that AI uses for assigning classes (those that aren't selected by the student). One of those factors (there is a very long list) is your availability at said hour, e.g. the system will prioritise a teacher who is available at a certain day/time regularly vs someone who just adds that day/time now and again. However, that's only within that scope of regularity. The system will go through various other calculations that are too numerous and complex to mention (rating, client preferences, work experience, etc...) when assigning classes through AI. I don't have all the details...what I am trying to say is there may be some minor impact (would be hard to notice tbh), but it definitely won't impact classes which students pick you for - that's for sure.
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@Matthew-A This is now clear, thank you so much.
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@Matthew-A I'm realizing now, as so many of my regulars have cancelled classes this month (often just hours prior), that 1 consequence of my canceling green dots (even within all the legit guidelines) is that AI will not replace those student-cancelled classes as it had once done.
Not to be a Doomsday Debbie, but it really bums me out that even when we're told that we have a right to cancel green dots, we're still somehow punished for it 😕
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@Lisa-276 I think that we all tend to forget that scheduling is not predictable. The system tries to fill the empty slots, but it is obvious that this month so far the clients have scheduled fewer classes, so the system can manage as much as it gets. Also, more of us were off around Christmas and New Year, and now that more teachers are opening slots, it is logical that we cannot have as many as we could. To add to this, Demo classes have been scarce for me this month(read 0), meaning that is not a season for new students to enroll, bringing fewer potential classes to all of us.
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@Marko-I OK, so the supply/demand issue exacerbates the algorithmic set-up that penalizes you for making any changes to your schedule. As you stated in another thread about MPT hours, you're rewarded for stability and punished for instability. I see why that helps to manage operations.
But if the cancellation policy is truly meant to be more amenable to teachers, then I'd think that changing our MPT hours and cancelling classes within the timeframe shouldn't impact AI's prioritization algorithms at all. Personally, I think prioritization algorithms should be based on performance merits.
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@Lisa-276 在 Announcement: Cancelation Policy Update July 2023 中說:
I think prioritization algorithms should be based on performance merits.
Can you please explain what performance merits that would be?
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@Marko-I Performance reviews i.e. video evaluations, repeat clients, regular bookings vs AI-bookings, avoiding illegitimate cancellations and absences.
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@Lisa-276 在 Announcement: Cancelation Policy Update July 2023 中說:
video evaluations, repeat clients, regular bookings vs AI-bookings
But that is all that AI already does. AI arranges classes depending on client preferences, and teachers' performances, repeat clients(followers), ratings, etc.
The algorithm is made by human, not AI.
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@Marko-I I was considering what Matthew mentioned previously:
"It may slightly impact one of the factors that AI uses for assigning classes (those that aren't selected by the student). One of those factors (there is a very long list) is your availability at said hour, e.g. the system will prioritise a teacher who is available at a certain day/time regularly vs someone who just adds that day/time now and again."
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@Lisa-276 What Matthew said is also valid... If I was available for the same time slot for the past 600 days, I would be prioritized before someone available for the past 300 days.
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@Marko-I that would mean you never took a holiday either?