Guided Questions for Prompts

Guided Prompts for Self-Check-In Prompt Samples
Academic & Learning

Select words that describe how you feel about your learning and schoolwork today.

Context: AI can evaluate how the student’s academic confidence, stress, or motivation changes over time, identifying patterns that might predict dips in performance or engagement.

Categories: Academic, Emotional

Social Relationships

Select words that describe how you feel when working or playing with classmates or friends.

Context: AI can detect relationship satisfaction, peer acceptance, and potential social withdrawal or conflict trends.

Categories: Social, Emotional

Select words that describe how you act when someone corrects you or gives you feedback.

Context: AI can assess adaptability, openness to growth, and behavioral regulation when faced with criticism or guidance.
Categories: Behavioral, Emotional

Family Dynamics

Select words that describe how your home or family life feels right now.

Context: AI can detect support systems, family stressors, or stability concerns that may impact emotional health and school performance.

Categories: Family Dynamics, Emotional

Creativity & Self Expression

Select words that describe your mood when you are creating, building, or imagining something.

Context: AI can identify creative engagement, self-expression levels, and how creativity influences emotional well-being.

Categories: Creativity, Emotional

Lifestyle Routines

Select words that describe how you usually feel at the start / end of your day.

Context: AI can compare mood changes within the day to detect stress buildup, burnout, or recovery patterns.

Categories: Emotional, Lifestyle

Select words that describe how your daily routines—like eating, sleeping, and getting ready—feel for you.

Context: AI can track lifestyle stability, time management, and self-care patterns that may affect learning and behavior.

Categories: Lifestyle, Emotional

Behavioral Flexibility

Select words that describe how you feel when rules or expectations change suddenly.

Context: AI can assess adaptability, emotional regulation, and behavioral flexibility under changing conditions.

Categories: Behavioral, Emotional

Generated Insight Prompt Samples
Category 1: Behavior Pattern Analysis and Triggers

Escalation & De-escalation Patterns

  • What specific behavioral patterns precede major incidents for this student?
  • How much lead time is there between early warning signs and actual incidents?
  • Which interventions in the past have most quickly reduced the severity of behavior?
  • Are there identifiable “calm periods” after certain supports are given?

Pattern & Trigger Identification

  • Based on historical behavior, what are the most common triggers leading to this student’s disciplinary incidents?
  • How often do incidents follow high-absence or tardy periods?
  • Which classes, times of day, or days of the week show the highest likelihood of behavioral infractions?
  • Does the student’s emotional state data show early warning signs before major incidents?
Category 2: Academic & Engagement Links

Academic & Engagement Correlations

  • How does the student’s academic performance in the last two weeks compare to behavior trends?
  • Does low academic engagement predict higher risk for incidents?
  • Are there particular subjects or teachers where the student is more engaged and shows fewer incidents?
  • Is there a drop in academic participation before attendance or behavior issues increase?
Category 3: Social & Environmental Influences

Relationship & Environment Impact

  • Which peers most frequently appear in incidents with this student?
  • Which staff members have the most positive influence on this student’s behavior?
  • How does the student’s seating arrangement, group work assignments, or physical location in class affect behavior risk?
  • Are there patterns in incident locations (classroom, hallway, cafeteria, bus) that should be addressed?

Emotional & Social Dynamics

  • How does the student’s emotional state during the school day correlate with ISS placements?
  • Are there repeated peer conflict patterns that suggest a need for mediation or peer relationship intervention?
  • Does the student’s social network contribute to or reduce behavioral risk?
  • How often does the student’s behavior improve after positive peer or mentor interaction?

Contextual & Root Cause Insights

  • Are the incidents more related to environmental/contextual stressors or emotional regulation challenges?
  • Has there been a change in the student’s home or social environment that correlates with recent behaviors?
  • Does the student’s current academic workload or performance align with any spikes in negative behavior?
Category 4: Attendance & Time-Based Predictors

Attendance & Timing Insights

  • What is the relationship between tardiness/absences and incident frequency?
  • Does the student’s behavior worsen after weekends, holidays, or long absences?
  • Are incidents more common in morning or afternoon periods?
  • How does the length of time since the last attendance gap influence the likelihood of new incidents?

Longitudinal Trend Analysis

  • Over the past year, how has the student’s behavior frequency and severity changed?
  • Are there clear “peak months” or seasonal patterns to incidents?
  • Has there been a consistent shift in the type of behaviors (defiance, disruption, aggression, etc.)?
  • Do the student’s incidents typically cluster after academic grading periods, holidays, or testing weeks?

Attendance-Behavior Forecasting

  • What is the predictive impact of a missed day on incident likelihood within the same week?
  • How does chronic absenteeism influence emotional stability and social behavior?
  • Are behavior improvements maintained during consistent attendance streaks?
  • Is there a correlation between Monday absences and incidents later in the week?
Category 5: Predictive Risk & Forecasting

Predictive Risk Assessment

  • Given the current trajectory, what is the predicted incident risk for the next 1 week, 2 weeks, and 1 month?
  • Which single factor, if improved, would have the greatest impact on reducing behavior risk?
  • Is there a seasonal or cyclical pattern in this student’s behavior history?
  • How does this student’s predictive risk score compare to peers with similar histories?

Predictive Risk & Prevention

  • Given current patterns, what is the likelihood the student will have another behavioral incident in the next 30 days?
  • Are there early risk indicators that suggest escalation toward more severe infractions?
  • How might changes in attendance over the next two weeks impact the probability of further disciplinary actions?
  • Which intervention strategies historically reduce this student’s incident risk the most?

Crisis Prevention & Early Intervention

  • Which early warning indicators have been most accurate in predicting this student’s past incidents?
  • How quickly do minor infractions escalate to major ones for this student?
  • What specific behavior shifts should staff watch for in the next 7 days?
  • Are there patterns in body language, engagement, or tone that typically precede a behavioral spike?

Risk Factor Layering

  • Which combination of risk factors (attendance, academic performance, peer conflict) most strongly predicts ISS placement?
  • Are there compounding effects when academic struggles and attendance dips occur simultaneously?
  • Does stress from multiple sources (academic, social, personal) precede more severe incidents?
  • How many days of poor attendance before a significant increase in behavior risk is detected?

Cross-Student Comparative Insights

  • How does this student’s behavior trajectory compare to other students with similar profiles?
  • Are there proven intervention pathways from similar cases that could be applied here?
  • What risk category (low, moderate, high) does this student fall into compared to peers in the same MTSS tier?
  • Is the student progressing toward exiting high-risk classification, or regressing toward higher intervention needs?

Long-Term Prediction & Goal Alignment

  • What is the predicted likelihood this student will meet behavioral improvement goals in the next 90 days?
  • Which habits or patterns must change to maintain long-term improvement?
  • How can academic growth goals and behavioral goals be better aligned?
  • What is the probability of avoiding another ISS placement this semester with current supports in place?
Category 6: MTSS Intervention Strategy & Effectiveness

MTSS Intervention Effectiveness

  • Which previous Tier 2 and Tier 3 interventions had measurable, positive results for this student?
  • Which supports are most likely to succeed given the student’s current behavioral and attendance profile?
  • Should the student’s current MTSS tier placement be reconsidered based on predictive analysis?
  • Are there opportunities for preventive group interventions with students showing similar patterns?

Intervention Precision Tuning

  • Which intervention strategies have shown diminishing returns for this student?
  • What is the optimal frequency of check-ins for reducing risk without overwhelming the student?
  • Are current behavior plans addressing root causes or only surface-level symptoms?
  • Which low-effort, high-impact interventions could be implemented immediately?

MTSS-Aligned Recommendations

  • Which Tier 2 or Tier 3 supports are most likely to address this student’s top risk factors?
  • Which social-emotional skill gaps are most urgent to address based on current and past data?
  • Are there specific peer or teacher relationships that positively or negatively influence the student’s behavior?
  • What proactive supports could prevent the student from re-entering ISS in the next quarter?
Category 7: Emotional Health & Motivation Signals

Well-being & Motivation Signals

  • Has there been a shift in emotional well-being indicators before recent incidents?
  • Is there evidence that a change in the student’s self-confidence or self-perception is influencing behavior?
  • Are disciplinary issues tied more to frustration, disengagement, or external stressors?
  • How do positive recognition moments impact future behavior patterns?
Category 8: Instructional & Environmental Adjustments

Learning Environment Adjustments

  • Are incidents reduced when the student is placed in smaller group or one-on-one instruction?
  • How does classroom noise level or structure affect the likelihood of disruption?
  • Which types of classroom tasks (independent work, group projects, physical activities) lead to the least behavioral issues?
  • Are certain times of the day consistently more productive for the student’s learning and self-control?
Category 9: Recovery & Momentum Building

Behavior Momentum & Recovery

  • After a behavioral incident, how long does it typically take for the student to return to baseline behavior?
  • What interventions shorten recovery time?
  • Are there activity transitions that frequently trigger behavioral setbacks?
  • Has there been improvement in the speed of behavior recovery over the past semester?
Category 10: Strength-Based Supports

Strength-Based Intervention Planning

  • Which strengths or talents can be leveraged to improve the student’s self-regulation and school engagement?
  • How often has the student responded positively to leadership or responsibility roles?
  • Are there extracurricular activities that historically reduce behavioral incidents?
  • What past recognition or reward systems had the most sustained positive effect?

Protective Factor Identification

  • Which existing supports are acting as buffers against more frequent ISS placements?
  • Are there mentor relationships that consistently reduce incident probability?
  • Does participation in sports, clubs, or other structured activities correlate with improved behavior?
  • Are family communication touchpoints reducing or increasing behavior risk?
Category 11: Intervention Timing & Monitoring

Intervention Timing & Monitoring

  • When is the optimal time during the school day/week to check in with this student to reduce risk?
  • What leading indicators should the counselor or AP monitor to detect early signs of disengagement or defiance?
  • How should progress toward improved behavior be measured over the next 6 weeks?