Name: Data Scientist at Meta
Brand: Prepfully
SKU: KGYW9K
Rating: 4.69 (53 reviews)

Meta Data Scientist

Data Scientist at Meta

From booking time - until the session time is locked in

Cancellation is FREE (Stripe/PayPal don't refund payment fees though)

Once session time is locked in - until 24h prior to the session time

Reschedules, cancellations or changes cost 25$/modification

From 24h before the session time - session time

Reschedules, cancellations or changes cost 50% of the session price.

Reschedules and cancellations are not possible -- unless the expert didn't show up, in which case you are entitled to a full refund or a free reschedule.

Please reach out to support@prepfully.com for any questions or concerns, or if you encounter a bug.

The first reschedule is always free, and can be done up to 24 hours before the originally scheduled time. Cancellations are free until a session is picked up by an expert - after which there are fees associated.

What’s the reschedule and cancellation policy?

Prepfully does not record or provide recordings of sessions at the moment.

Any recordings done by Prepfully will only be done after explicit approval is received from both expert and candidate. Some sessions were previously recorded (always with coaches' and candidates' approval) - either to generate transcripts, or to publish recordings on Prepfully's YouTube channel.

We do plan to build an automatic transcription service at some point - however this is still under development.

The discount depends on how many sessions you book, and the role for which you are interviewing.

For mocks with a first-session price of 99$, the discount is as follows:

5-7 sessions booked together: 50$ discount applied (~10% off)

8-10 sessions booked together: 100$ discount applied (~13% off)

11+ sessions booked together: 150$ discount applied (~15% off)

Sessions booked can be used across 1 year. However, they must be invoiced together i.e. paid in one go.

The first session doesn't count towards the bulk booking since it is already steeply discounted.

Profile-specific charges are waived in all bulk bookings (i.e. same expert, new expert etc). However, we can't guarantee specific/new experts for all sessions since this depends on expert availability - we'll try our best to achieve your requests.

If a session is cancelled/refunded for any reason - the discount will be removed or reduced first depending on total #sessions completed.

If you'd like to book additional sessions after completing the discounted ones, the price will default to the original.

If you'd like to book multiple sessions, and are interested in the discount level - please email us on support@prepfully.com. However, we'd always recommend doing 1 session first and assessing for yourself how useful the service is, before making a bulk booking.

Yes, between 10-25% off depending on how many sessions you book, and the role you are interviewing for.

Is there a discount for multiple bookings

I'd like to book multiple sessions. Can I get a discount?

Once 15min have passed, you will be able to mark your coach as a no-show. Please use the "Mark expert as no-show" button in your session page. This button can only be clicked within the session window.

Your expert  gets notified to join when you start marking them as a no-show. If they join in late - rest assured that they'll provide a full 60-minute session to you.

If a coach doesn't show up even after 15-minutes, you can choose between a free reschedule and a full refund. 

Either way - we know that no-shows are super inconvenient and jarring; and therefore try very hard to minimize this. Coaches who don't show up twice in a row without an extremely good reason, are just removed from Prepfully, no matter how good they are. This keeps coach no-shows to less than 0.25% of all sessions.

Notify Prepfully. If the expert still hasn't shown up after 10 minutes - please take a screenshot, and reply to any of your confirmation or reminder emails to let us know. If we are online, we will help right away.

My expert hasn't joined the session, what should I do?

Data Scientist at Meta

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