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changes.mady.by.user Philip Fogarty

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changes.mady.by.user Rainey Guo

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Page Properties

Jira Initiative

TBC

Project Status

Status
colourYellow
titleIn progress

Created On

Due Date

Document Owner

Rainey Guo

...

The first time-series chart, KDS Penetration Over Time, is intended to illustrate, using superimposed line charts, the evolution of KDS penetration throughout the dashboard user’s selected time period, compared to past years over the same time period. Each line represents a different year’s KDS over the user’s selected reporting range. Within this chart, users should have the option to drill up or down on the reporting cadence (e.g., daily, weekly [fiscal], monthly, quarterly, annually). For example, if the user inputted the time range as [Start Date] 2023/01/01 to [End Date] 2023/10/01 and drilled down the reporting cadence to “weekly”, the chart would show weekly KDS penetration overtime for January to October, in 2021, 2022, and 2023.

...

  1. Project timeline overrun: as a high-priority project, with executive-level interest, adherence to the overall project timeline is the most significant risk of the project.

  2. Inaccurate data: as the dashboard is anticipated to influence TH Digital & Loyalty decision-making, the accuracy of the data is paramount.

Loyalty Dashboard Wishlist

Issuance

Total Points Issued

Ability to filtered by

  • any period (day, week, month, campaign period)

  • province

  • top cities

  • restaurant

Point Type

Restaurant, FS/Partner, Marketing (split by Hockey Challenge, Word Challenge, Offers, Campaign), Support

Earning Means

App, Plastic, Digital Wallet

Bonus Point Guardrail tracking 

Avg Issuance per guest

Total Number of Non-Registered Points

Ability to filtered by

  • any period (day, week, month, campaign period)

  • province

  • top cities

  • restaurant

Redemption

Total Points Burned

Ability to filtered by

  • any period (day, week, month, campaign period)

  • province

  • top cities

  • restaurant

Points Burned by Tier

Average Redemption Per guest 

Type of Point Burned

Restaurant, FS/Partner

Number of points burned as a % of total points in system

Guest View

Number of Guests that Earned

Ability to filtered by

  • any period (day, week, month, campaign period)

  • province

  • top cities

  • restaurant

Number of New Guests that Earned (past 30 days)

Number of Guests that Burned

Number of New Guests that Burned (P30 days)

Total Number Non-Registered Guests

Total Number Non-Registered Guests that Earned

Total Number of Guests Scanning with Plastic (any plastic)

Total Number of Guest Scanning with Digital

Total # of features guest has engaged with (meaning scan, Scan & Pay, MPO, delivery, game, catering, 

Avg cheque

Ability to filtered by

  • any period (day, week, month, campaign period)

  • province

  • top cities

  • restaurant

  • Plastic vs. Digital Earn

  • New (last 30 days) vs. Ongoing

  • Frequency/value segments

Avg visits

Offer users

Game interactions (HC, WC, RUTW)

Ability to filtered by

  • guests that play in any period (day, week, month, campaign period)

  • ever played

  • new players in a certain time

Scan & Pay Penetration’s 

ability to filter between by guest, by transaction 

Never redeemed

  • amount, % of total redeemers, % of all guest

Balances

Bankers

% and number of points

Set to redeem

% and number of points

Expiry/Inactive/Fraud

Total Points Expiring

per month

Number of Guests with Expiring Points

per month

Total Points Deactivated (when live)

per month

Number of Guests with Inactive Points (when live)

per month