Enhancing Brenia Onboarding with Smart Behaviors and Data Persistence

Introduction

Onboarding new users effectively is crucial for user engagement and retention. In the Brenia project, we've been focusing on making the onboarding process more intelligent and user-friendly. This involves incorporating smart behaviors that adapt to user input, along with ensuring seamless data persistence for a smoother experience.

Smart Behaviors: Adapting to User Input

A key aspect of the improved onboarding is the introduction of "smart behaviors." These behaviors are designed to detect specific user inputs and respond accordingly. For example, if a user expresses uncertainty by typing "no sé" (Spanish for "I don't know"), the system now proactively offers helpful examples. Similarly, if a user indicates a correction with "me equivoqué" (Spanish for "I was wrong"), the system intelligently navigates them back to the previous step.

This adaptive approach ensures that users receive timely assistance and guidance, reducing frustration and improving the overall onboarding flow. Furthermore, the system automatically returns the user to their original step after a correction, maintaining context and minimizing disruption.

Data Persistence: Saving User Preferences

To provide a personalized and consistent experience, we've implemented comprehensive data persistence for various aspects of the onboarding process. This includes storing user preferences related to visual identity, campaign details, and content references. New fields have been added to the database to accommodate this data, such as primary_font, visual_dna, campaign_cta_emotion, has_no_content_yet, and custom_pillars.

The persistOnboardingData function has been updated to ensure that all these new fields are saved correctly. This allows the system to remember user choices and preferences across sessions, creating a more seamless and engaging onboarding experience. Model updates have also been performed on BrandVisual, BrandCampaign, BrandReference, and BrandGoal to reflect these changes.

Here's a simplified example of how user preferences might be persisted:

<?php

function persistOnboardingData(int $userId, array $data)
{
    // Simulate saving to a database
    $userConfig = [
        'primary_font' => $data['primary_font'] ?? 'Arial',
        'visual_dna' => $data['visual_dna'] ?? 'Modern',
        'campaign_cta_emotion' => $data['campaign_cta_emotion'] ?? 'Excited',
    ];

    // In a real application, you would save $userConfig to a database
    // associated with the $userId.

    return $userConfig;
}

$userData = [
    'primary_font' => 'Roboto',
    'visual_dna' => 'Minimalist',
    'campaign_cta_emotion' => 'Inspired',
];

$savedConfig = persistOnboardingData(123, $userData);

print_r($savedConfig);

?>

This PHP example demonstrates how user preferences for primary_font, visual_dna, and campaign_cta_emotion are stored in a $userConfig array. In a full application, this data would be saved to a database associated with the specific user ID.

Addressing Content Gaps

Recognizing that some users may not have content readily available during onboarding, we've added a "No tengo contenido" (Spanish for "I don't have content") button for the content referents step. This allows users to proceed through the onboarding process even if they don't have content prepared, ensuring they can explore the platform and understand its capabilities. This feature enhances accessibility and caters to a wider range of user scenarios.

Conclusion

By incorporating smart behaviors and robust data persistence, the Brenia onboarding process has become more adaptive, user-friendly, and personalized. These enhancements contribute to a smoother and more engaging experience for new users, ultimately driving higher adoption and retention rates. The key takeaway is that understanding and adapting to user input, coupled with seamless data persistence, can significantly improve the onboarding experience.