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New Doordash Rating System

Last updated December 19, 2025

Starting November 2025, Doordash moved over to more of a reaction-based rating system predicated on three key new changes:

  1. Moved over to a like/dislike/love emoji-based rating for users instead of a five star system
  2. Rolling in improved tag selections
  3. Adding more item-based reviews

Superorder has built the following updates to be able to handle Doordash's new system

Filters Changes

  • To accommodate both the 1-5 based rating system and the reaction based system, we’ll be rolling out the following mapping between the two systems
  • Love Reaction: 5 Star
  • Like Reaction: 4 Star
  • Downvote Reaction: 1-3 Stars

Average Rating Changes:

  • To be able to process a consolidated view of average ratings across platforms and rating systems, we’ll use the following calculation: average calculation will be a weighted average of reviews with the following mappings:
  • Love Reaction: 5 Star
  • Like Reaction: 4 Star
  • Downvote Reaction: 2 Stars

OSAT Changes:

  • We’ll be converting the OSAT definition to be (5 star review count + love review count)/ total review count to adjust across platforms and ratings systems

Review Template Changes:

  • For review template automations, the star rating filters will use the same mappings as for filter changes.
  • We will convert the “With Comment” option to be “With Comment or Tag”

Inbox + All Reviews Page Changes:

  • Within the inbox and all reviews pages, users will be able to see the like/dislike/love-based rating as well as the tags and item-based reviews all within the existing view of the review
  • For the rating, the like/dislike/love-based rating will be displayed where the rating currently is
  • Review tags will be placed above the review and below the rating (as they currently are for UberEats tags)
  • Item-based reviews will be placed under the Rating and Rating Text (if available). It will include Item name, modifiers for that item, and the corresponding rating

Insight Page:

  • All new tag + item rating data will be pulled into Item level analytics, Common Theme Analytics, and overall review level insights.

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