Understanding the Competency & Skills Insights Tab on the AI Coaching Dashboard

Competency & Skills Insights Tab

This tab provides detailed analysis of skill development, performance trends, and regional comparisons.

Competency Growth Over Time

This multi-line chart shows how each skill has developed over the selected time period.

What it shows:

  • One colored line for each skill being tracked
  • Average scores (0-100 scale) for each skill across all learners
  • Weekly progression from Week 1 through Week 10 (or your selected timeframe)

How to read it:

  • Each line represents a different skill (e.g., Call Closing, Objection Handling, Product Knowledge)
  • Higher positions on the chart indicate better performance
  • Upward slopes show improvement over time
  • Lines that remain flat may indicate skills that need additional training focus

Why this matters: This chart helps you see which skills are improving steadily and which might be plateauing. Use it to identify skills that need new training materials, different coaching approaches, or more practice opportunities.

Competency growth Over Time

Competency Performance by Attempt

This chart shows how learners improve in each skill as they complete more practice attempts.

What it shows:

  • One colored line for each skill
  • Average scores (0-100 scale) from Attempt 1 through Attempt 5
  • How much learners improve with repeated practice

How to read it:

  • The x-axis shows attempt numbers (1st attempt, 2nd attempt, etc.)
  • The y-axis shows the average score for that attempt
  • Steeper lines indicate skills where learners improve quickly with practice
  • Flatter lines suggest skills that require more attempts to master

Why this matters: This helps you understand how many practice attempts learners typically need to reach proficiency in each skill. Skills with slower improvement curves may need additional resources or modified training approaches.

Competency Performance by Attempt

This section provides narrative insights about skill development patterns.

What it includes:

  • Multi-quarter analysis of competency gains
  • Identification of skills showing strongest growth
  • Strategic observations about skill development effectiveness

Key details:

  • Auto-generated by SmartWinnr AI
  • Updates automatically as new performance data is collected
  • Provides context for the trends shown in the charts

Example insights you might see:

  • "Multi-quarter analysis reveals 25% overall competency gain across all skill development areas"
  • "Trust building skills demonstrate strongest long-term growth pattern"

Use these insights to validate your coaching strategy and identify which skills are responding well to your current approach.

Learning Path Recommendations

This section offers personalized guidance for improving your training program.

What it includes:

  • Comprehensive transformation roadmaps
  • Multi-level learning paths for different skill levels
  • Targeted development strategies

Key details:

  • Auto-generated by SmartWinnr AI based on competency data
  • Updates automatically as performance patterns change
  • Tailored to address your team's specific skill gaps

Example recommendations you might see:

  • "Comprehensive 90-day transformation roadmap developed based on strategic learning path"
  • "Multi-level learning paths for progressive skill building and structured progression"

Use these recommendations to design targeted training interventions and create progressive learning experiences for your team.

Trend Analysis & Recommendations

Competency Assessment Heatmap

This visual heatmap shows performance across different organizational groups and skills.

What it shows:

  • Rows: Different organizational groups (these can be customized based on your setup)
    • In the example shown: Geographic zones like Great Lakes, New England/Boston, New Jersey, etc.
    • Your organization might use different groupings like teams, departments, product lines, or sales territories
  • Columns: Individual skills (Call Closing, Objection Handling, Product Knowledge, Trust Building, Probing, Engagement, Communicating Skills)
  • Cell colors: Performance levels ranging from dark yellow (needs improvement) to dark green (excellent)
  • Cell percentages: Average score for that specific group in that specific skill

How to read it:

  • Scan across a row to see all skills for one group
  • Scan down a column to compare one skill across all groups
  • Darker green cells indicate strong performance (higher scores)
  • Yellow or orange cells indicate areas needing attention (lower scores)

Example: If Great Lakes shows 85% in Call Closing (dark green) but 43% in Product Knowledge (yellow), you know that region excels at closing but needs additional product training.

Why this matters: This heatmap lets you quickly identify which groups need support in which skills. Use it to:

  • Target training resources to specific regions or teams
  • Identify best-performing groups who can share their practices
  • Balance skill development across your entire organization
  • Make fair comparisons across different organizational units
Competency Assessment heatmap

Soft Skills Assessment

This section evaluates communication and presentation skills across all learners.

What it shows: Average scores (out of 10) for ten different soft skills, calculated across all learners in the selected time period.

The soft skills measured:

Monotony (Voice Variation)

  • Measures how much the speaker varies their tone and pitch
  • Low scores indicate speaking in a flat, monotonous voice
  • High scores show engaging voice modulation and variety

Pace (Speaking Speed)

  • Evaluates whether the speaker talks at an appropriate speed
  • Low scores may indicate speaking too quickly or too slowly
  • High scores show well-paced, easy-to-follow speech

Fluency (Speech Smoothness)

  • Assesses how smoothly the speaker communicates
  • Low scores indicate choppy speech or frequent pauses
  • High scores show natural, flowing conversation

Clarity (Clear Articulation)

  • Measures how clearly words are pronounced
  • Low scores suggest mumbling or unclear speech
  • High scores indicate crisp, understandable articulation

Audibility (Volume Level)

  • Evaluates whether the speaker can be heard clearly
  • Low scores indicate speaking too quietly
  • High scores show appropriate, easy-to-hear volume

Articulation (Message Delivery)

  • Measures how effectively the speaker puts their message across
  • Low scores suggest difficulty conveying ideas clearly
  • High scores indicate strong ability to communicate the intended message

Filler Words (Um, Uh, Like Usage)

  • Tracks the use of unnecessary filler words
  • Low scores indicate excessive use of "um," "uh," "like," etc.
  • High scores show clean, professional speech with minimal fillers

Expressions (Facial Expressions)

  • Evaluates facial engagement and emotional connection
  • Low scores suggest limited or inappropriate facial expressions
  • High scores show appropriate, engaging facial expressions

Gesture (Body Language)

  • Measures the use of hand movements and body language
  • Low scores may indicate stiff or excessive gesturing
  • High scores show natural, appropriate use of gestures

Eye Contact (Gaze Maintenance)

  • Assesses ability to maintain eye contact with the AI avatar
  • Low scores indicate frequently looking away
  • High scores show strong, consistent eye contact

How to interpret the scores:

  • 8-10: Excellent performance
  • 7: Good performance
  • 5-6: Average performance, room for improvement
  • 3-4: Below average, needs attention
  • 1-2: Poor performance, requires significant improvement

Why this matters: Soft skills are critical for building rapport and trust with customers. Use this section to identify areas where your team needs coaching on presentation and communication skills, not just product knowledge or selling techniques.

Soft Skills Assessment