Documentation Index

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Insight Types Explained

Zion generates six distinct types of insights, each analyzing different aspects of your school’s performance data. This guide explains each type in detail.

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Day-of-Week Patterns

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What It Analyzes

Goal achievement variations across different days of the week.

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Detection Method

1. Collects goal completion data for last 4 weeks (28 days)
2. Groups data by day of week (Monday-Friday)
3. Calculates average achievement per day
4. Identifies days with >10% variance from weekly average

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Example Insights

Low Performance Day: “Goal achievement is 18% lower on Fridays compared to the weekly average of 82%” High Performance Day: “Students perform 12% better on Tuesdays, the strongest day of the week”

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Confidence Requirements

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What to Do

For Low Days:

• Investigate day-specific factors
• Consider reduced goals on problem days
• Address transitions (Monday) or fatigue (Friday)
• Plan engaging activities for struggling days

For High Days:

• Document what makes these days successful
• Consider replicating conditions on other days
• Use as benchmark for improvement

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Subject Correlations

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What It Analyzes

Relationships between performance in different subjects.

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Detection Method

1. Calculates each student’s achievement rate per subject
2. Computes Pearson correlation coefficient between subject pairs
3. Identifies pairs with r > 0.7 (strong correlation)
4. Requires minimum 15 students with data in both subjects

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Example Insights

Negative Correlation Pattern: “Students struggling in Math 1042-1048 are also struggling in Science 1040-1045 (correlation: 0.78)” Shared Challenge: “English and Social Studies show strong correlation (0.82) - students struggling in one typically struggle in both”

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Confidence Requirements

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What to Do

• Investigate shared prerequisite gaps
• Consider paired tutoring or support
• Review if subjects share foundational skills
• Create integrated support programs

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Centre Performance

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What It Analyzes

How each learning centre compares to the school average.

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Detection Method

1. Calculates achievement rate per learning centre
2. Computes school-wide mean and standard deviation
3. Identifies centres >15% above or below average
4. Requires minimum 20 goal samples per centre

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Example Insights

Underperforming Centre: “Learning Centre B is performing 22% below the school average (58% vs 80%)” High-Performing Centre: “Learning Centre A is 15% above average - top performer at 95%“

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Confidence Requirements

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What to Do

For Underperforming Centres:

• Investigate environmental factors
• Review supervisor practices
• Consider resource reallocation
• Provide targeted support

For High-Performing Centres:

• Document successful practices
• Share approaches with other centres
• Consider mentor relationships

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Seasonal Trends

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What It Analyzes

Performance changes over the course of a term.

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Detection Method

1. Requires at least 6 weeks into current term
2. Compares first half vs second half of term
3. Calculates percentage change in achievement
4. Flags changes >15% as significant

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Example Insights

Declining Performance: “Achievement has dropped 18% in the second half of this term (72% down from 90%)” Improving Performance: “Performance improved 22% in term’s second half - strong positive momentum”

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Confidence Requirements

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What to Do

For Declining Trends:

• Address term fatigue factors
• Review workload distribution
• Consider mid-term breaks or incentives
• Increase engagement activities

For Improving Trends:

• Document what’s driving improvement
• Maintain successful approaches
• Celebrate progress with students

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Student Velocity

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What It Analyzes

Individual student acceleration or deceleration over time.

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Detection Method

1. Analyzes 8-week window (split at 4-week mark)
2. Compares achievement in first 4 weeks vs last 4 weeks
3. Identifies >25% change in either direction
4. Requires 20+ total goals per student

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Example Insights

Accelerating Students: “8 students have improved their achievement rate by >30% in the last 4 weeks” Decelerating Students: “5 students have shown >25% decline in recent weeks - intervention needed”

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Confidence Requirements

Based on total goal count per student over 8 weeks.

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What to Do

For Accelerating Students:

• Celebrate and reinforce progress
• Identify what changed for them
• Consider leadership/peer mentor roles
• Maintain momentum

For Decelerating Students:

• Investigate root causes immediately
• Schedule student/parent meetings
• Develop intervention plans
• Monitor closely going forward

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Subject Difficulty

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What It Analyzes

PACEs with abnormally low completion rates.

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Detection Method

1. Calculates completion rate per PACE
2. Compares to expected rate for subject/grade
3. Flags PACEs with <70% completion rate
4. Requires 10+ attempts per PACE

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Example Insights

Difficult PACE: “Math 1048 has a 58% completion rate - significantly below expected 85%” Completion Time Issue: “Science 1052 is taking 3x longer to complete than similar PACEs”

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Confidence Requirements

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What to Do

• Review PACE content for complexity
• Provide additional support resources
• Consider teaching approach changes
• Check if prerequisites are adequately covered
• Discuss with curriculum specialists

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Comparing Insight Types

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