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  • Reduce overhead costs by X % by decreasing in-restaurant cash and credit card payments (in selected restaurants) to 60% X% combined, by the end of 2024, maintaining the same level of sales X EUR/ month at least.

    • Decrease cash-handling costs by X% (From X to X )

    • Decrease credit card processing fees by X% (From X to X )

___________ If loyalty program is involved______

Jira Legacy
serverSystem JIRA
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  • Decrease time to place an order for BK Pay customers

    • Kiosk: Decrease by time to place an order by X%, from X minutes to X minutes.

    • POS: Decrease by time to place an order by X%, from X minutes to X minutes._

    • __________ If loyalty program is involved______Drive-thru: Decrease time to place an order by X%, from X minutes to X minutes.

  • Increase monthly sales by X% per restaurant

    • by increasing purchase frequency by X%

    • increasing customer LTV by X%



📈 Additional Metrics to be Monitored:

Metric

Description

Current Value

Expected Value

How are we measuring it?

cash-handling costs/mo

costs connected with in-restaurant employee cash fraud

 

 

 

credit card processing fees /mo

a sum of all the fees associated with processing a credit card payment

 

 

 

Average time to place an order

  • Kiosk

  • POS

  • Drive-Thru

Average time that it takes for a customer to place an order successfully (together with payment) once they approach Kiosk or the front counter.

 

 

 

% of BK Pay transactions per channel

% of transactions that were made with BK Pay per each channel; example: Kiosk, POS

 

 

 

sales EUR made with BK pay

  • weekly

  • monthly

Sum of check value made with BK Pay for a selected period of time

 

 

 

Average monthly # orders paid via BK Pay app per BK Pay app user

average number of orders paid with BK Pay

 

 

 

Average order value per BK Pay user

average value of a check per BK Pay user

 

 

 

% of users paid successfully out of the users that opened BK Pay screen

number of users who were able to place order successfully with BK Pay out of the total that opened the BK QR code screen

 

 

 

% of users opened BK Pay but have not completed onboarding

 

number of users who have not completed a Bluecode onboarding process out of the total who landed on the BK Pay screen

 

 

 

Bk Pay onboarding funnel (conversion and abandonment rate)

% of users proceeding to each consequent step out the ones landing on BP Pay

 

 

 

% of users completed onboarding but did not pay with BK Pay

how many users registered with BK Pay but did not end up paying

 

 

 

BK Pay users LTV

Lifetime Value of users who has ever paid with BK Pay

 

 

 

BK Pay payment success rate

percentage of attempted transactions that are completed successfully

 

 

 

  1. Share current work:

    1. Benchmarking & Best practices

    2. User flows

    3. Prototype

  2. Address outstanding questions:

  • Is the program/BK Pay app still ongoing?

  • Understand the current/past flow presented on the screenshot including discounts in BK Pay

...