Adobe Learning Manager New L1/L3 Feedback Report v.2025-26 (Article)

Details of new L1/L3 Feedback report and API to extract data.

The attached document outlines the updates to the L1/L3 Feedback report structure, including new data fields, question modeling, and an API for data extraction, aimed at enhancing flexibility and analytical capabilities. ​

Overview of Report Changes ​ The new feedback reporting system retains core identifiers such as user, training, and date information but introduces a more flexible, question-type-based schema. ​ It replaces fixed, modality-specific questions with a generic model supporting multiple question types—NPS, Likert, Text, and Course Effectiveness—and incorporates feedback form versioning and multilingual support. ​ This allows administrators to create, reuse, and evolve multiple feedback forms without schema changes, enabling richer, more customizable feedback collection and analysis. ​

Structural and Question Model Enhancements The old report had a limited, fixed set of questions with hard-coded columns for specific self-paced and classroom questions, including only two open-ended learner comments and a single NPS question. ​ The new report generalizes this by storing questions as “Question X / Answer X” under configurable types, allowing multiple Likert, Text, and Course Effectiveness questions per form. ​ NPS is now modeled as a dedicated question type with explicit text, scale, and answer fields, supporting multiple NPS questions if needed. ​ This flexible model supports richer feedback forms, multiple open-ended questions, and dynamic question configurations, moving away from rigid, fixed templates. ​

Feedback Form Metadata and Versioning ​ The new system introduces explicit columns for Feedback Form Name, Feedback Version, and original language, enabling tracking of different form configurations, versions, and languages. ​ This facilitates form management, comparison over time, and multilingual deployment, which were not possible under the fixed, single-form approach of the old report. ​

Core Data and Attribute Retention Most basic identifiers—feedback type, user, training, manager, dates—remain unchanged, ensuring backward compatibility and minimal disruption for existing filters and joins. ​ Additional organizational and HR attributes are now available directly within the report, allowing more granular analysis without extra joins.

Implications for Analysis and Governance The shift to a question-based, configurable schema means analysis must rely on question text and position rather than fixed column names. ​ This enhances flexibility but requires updates to reporting logic. The new model supports iterative feedback strategy improvements, form evolution, and A/B testing without schema modifications. ​ It also simplifies modality handling by using shared or modality-specific forms, with training type and form metadata providing context. ​

API for Data Extraction The provided API payload enables extraction of feedback data within a one-year date range, supporting filtering by course or learning program IDs, and optional locale specification. ​ The API returns data in a structured format, with the ability to specify language preferences or default to original responses, facilitating integration with external systems and analysis tools.

Overall, these updates significantly enhance the feedback collection framework’s flexibility, scalability, and analytical richness, supporting more nuanced insights and ongoing improvements in feedback strategies.

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