Streaks

The "Streaks" feature is designed to recognize and reward users for consistent positive behavior. By tracking chronological data, it accumulates this information until a predefined threshold is reached, with the goal of motivating users to maintain their good habits over time. The default behavior of the "Streaks" feature focuses on counting the number of "excellent" trips consecutively made by a user, highlighting their continuous commitment to safe and responsible driving.

Examples of customizable streaks include:

• Excellent Trips Streak (default behavior): Tracks the number of consecutive trips rated as 'Excellent' (e.g >90)

• Excellent Days Streak: Tracks the number of consecutive days where the average score was 'Excellent' (e.g >90)

• Good Trips Streak: Tracks the number of consecutive trips rated as 'good'

• Action Consistency Streak: Monitors the maximum number of times a user consecutively performs a specific positive action.

GQL Definition: UserEngagementStreaks

GQL Path: user.engagement.streaks.current.driving_safe

Similarly there exists a safe streak for two-wheelers as well user.engagement.streaks.current.riding_safe

query User($user_id: String) {
  user(user_id: $user_id) {
    engagement {
      streaks {
      
        // provides the current streak
        current { 
          driving_safe
        }
        
        // provides the best streak
        best { 
          driving_safe 
        } 
      }
    }
  }
}

Sub Streaks

In addition to recognizing overall safe driving and riding behaviors, the "Streaks" feature offers a variety of sub-streaks designed to acknowledge and promote specific aspects of user conduct

Streaks	Comment
driving_safe	Highlights a series of trips deemed safe according to predefined criteria.
driving_focused	Acknowledges periods of focused driving without distractions
driving_no_speeding	Rewards adherence to speed limits over consecutive trips.
driving_smooth	Recognizes sequences of smooth driving, emphasizing gentle acceleration and braking.
riding_safe	Highlights a series of trips deemed safe according to predefined criteria.
riding_call_while_moving	Identifies instances where riders avoid making calls while moving.
riding_harsh	Credits riders for avoiding harsh maneuvers that compromise safety.
riding_legal	Commends compliance with traffic laws across multiple rides.

Example Wireframe

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Additional helpful links:

• GQL UserEngagementStreaks definition