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Skill View

AP
Akshaya P
Last edited 56 days ago by Akshaya P.
The Skill View serves as the analytical core of the Quality Audit dashboard. It automatically aggregates data from various sources—including the Audit and Project Sessions to provide a comprehensive performance profile for every trainee.
Purpose of the View
The primary objective of this view is to centralize performance metrics. It pulls in data from audit sessions (Audit), internal examinations (Exam), and practical project evaluations (Coding) to calculate a synchronized Overall score for specific technical domains.

Step 1: Accessing the Dashboard

Start by navigating to the Quality Audit module.
Locate the Skill View tab in the primary navigation bar.
Upon entry, the system defaults to the Aggregate tab, giving you a bird's-eye view of the batch's total performance.

Step 2: Syncing Session Data

Before analyzing, ensure your latest classroom audits and project reviews are reflected.
Action: Click the Sync Assessments button at the top right.
Behind the Scenes: This initiates a background reconciliation that bridges the gap between your live Java/Project sessions and this central dashboard.

Step 3: Importing External Scores (iMocha & Evolv)

To get a full 360-degree view, you must pull in external exam data.
Action: Click on Sync Assessments to open the integration fly-out.
Configuration: 1. Identify the relevant sections where skills are configured. 2. Move them to the Selected Activities list.
Finalize: Click Import to bring in scores from iMocha (Exams) and Evolv (Practical Challenges).
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Description of the view:


Step 4: Deep-Diving into Specific Skills

Now that your data is fresh, filter the view to focus on specific skills.
Action: Click through the sub-navigation tabs such as Java, SQL, or Gen AI.
Utility: Use the Search Bar to instantly isolate a specific trainee’s row if you are preparing for a 1-on-1 feedback session.

Step 5: Evaluating the Results

Analyze the synchronized table rows to identify performance gaps:
Overall: Check this for the total weighted proficiency.
Benchmarking: Look at the highlighted Average (%) row at the bottom. This tells how the batch is performing overall in that particular skill set.

Skill View - Aggregate Tab:

The Aggregate Tab is your high-level vantage point within the Skill View. It consolidates every individual technical score into a single, comprehensive table, allowing you to evaluate the profile of each trainee.
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Step 1: Accessing the Consolidated View

Navigation: Open the Skill View dashboard.
Selection: By default, or by clicking the Aggregate button in the skill sub-tabs, you will see a matrix of all configured skills (e.g., Java, SQL, ORM, GenAI) side-by-side.

Step 2: Syncing Cross-Platform Data

To ensure this holistic view is accurate, you must pull in data from all assessment streams.
Sync Internal Sessions: Click Sync Assessments to pull the latest results from your internal Audit and Project sessions.
Import External Challenges: Use the Sync Activity Results fly-out to fetch scores for "Practical Challenges" and "Exams" from platforms like iMocha or Evolv.
Add relevant sections (e.g., "DevOps AWS Overview") to your Selected Activities.
Click Import to merge these external technical benchmarks into your aggregate table.

Step 3: Analyzing the Full Developer Profile

Review the table to identify well-rounded performers versus those with specific technical gaps.
Horizontal Analysis: Scan a single trainee's row (e.g., Pranav Ramamoorthy) to see their proficiency across all domains—Java, SQL, ORM, and GenAI—simultaneously.
Overall: Check the OverAll column, which provides a synchronized average of every skill tracked for that individual.
Trainee Search: Use the search bar to isolate a specific student's aggregate profile for performance reviews.

Step 4: Benchmarking Cohort Health

Use the bottom-level data to assess the progress of your entire batch
Batch Mean: The orange Average(%) row reveals the mean score for each specific skill across the entire cohort.
Final Pulse Check: Look at the Aggregate Skill Average footer (e.g., "76") to determine the overall technical readiness of the batch.


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