Cohort progression signal and student-success support plan
Attendance, LMS, assessment, and support-ticket signals become an operations support plan.
A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. The student-success team needs to decide whether to start a cohort support plan, complete advisor contact, or route students to a targeted workshop.
Runtime Query
The scenario is run as a query against comparable relationship sets.
A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. What student-success operations action should happen next?
Run 2026-06-17-base-run / education-university-operations/query-results/urgent-risk-next-action.json
cohort_support_plan_started
Primary outcome
Highest-ranked outcome from the runtime query result.
0.7296
Best score
Runtime score for the primary action option.
3
Options
Primary plus alternative action options returned by the runtime.
Data Examples
- Attendance drop against cohort baseline
- LMS engagement decline
- Missed formative assessment checkpoints
- Support-ticket cluster around workload and timetable questions
- Comparable cohort-support, advisor-contact, and workshop-registration outcomes
Event Path
- 01attendance_drop_detected
- 02lms_engagement_decline
- 03assessment_checkpoint_missed
- 04support_ticket_cluster
- 05advisor_outreach_started
- 06cohort_support_plan_started
Scout Output
- Runtime generated Scout-shaped data items for the domain.
- Runtime generated Scout relationships and ordered attribution paths.
- Domain manifest cross-checks the journey, event, and relationship-set counts.
Fortress Output
- Runtime generated comparable relationship sets.
- Runtime returned ranked action options with scores, confidence labels, outcomes, and supporting relationship-set IDs.
- Runtime preserved synthetic-only and customer-data false caveats.
Ranked Outcomes
Fortress returns a primary recommendation and the credible alternatives.
Primary Recommendation
Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.
Outcomecohort_support_plan_started
ConfidenceHigh
Score0.7296
The case study shows early student-success operations with a source trail, not a black-box judgement about students.
Other Ranked Options
Option 2 - Medium - score 0.3614
Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.
Expected outcome: workshop_registered
Option 3 - Low - score 0.1949
Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.
Expected outcome: advisor_contact_completed
Elite LLM Handoff
Explain the support_cohort_progression recommendation using the governed Fortress output and caveats.
governed_handoff:
- Goal: support_cohort_progression
- Primary path: cohort_support_plan_started, score 0.7296, high confidence
- Supporting signals: advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster
- Runtime relationship sets returned: 8
- Domain journeys: 120; events: 480; relationship sets: 120Outcome Prompt JSON
{
"schema": "kynticai.elite.outcome-prompts.v1",
"caseStudyId": "education-student-success-cohort",
"domain": "Education / university operations",
"stakeholder": "Student success lead",
"runtimeQuery": "A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. What student-success operations action should happen next?",
"promptContract": "You are Elite, the KynticAI recommendation-writing layer.\n\nYou receive governed Fortress output, not raw customer data. Use only the supplied relationship-set facts, scores, confidence labels, alternatives, caveats, and outcome goal.\n\nWrite a decisive operational recommendation for the accountable team. Your output must include:\n1. Recommended action.\n2. Why this action is supported by the comparable relationship sets.\n3. What to do now.\n4. When to choose one of the alternative actions.\n5. What outcome to capture so the system improves.\n\nRules:\n- Do not invent facts outside the governed handoff.\n- Do not promise revenue, retention, clinical, legal, financial, safety, or compliance outcomes.\n- Do not apologise for using synthetic demo data.\n- Be commercially useful, specific, and direct.\n- Keep human review and claim boundaries visible where the domain requires them.",
"governedFacts": [
"Goal: support_cohort_progression",
"Primary path: cohort_support_plan_started, score 0.7296, high confidence",
"Supporting signals: advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster",
"Runtime relationship sets returned: 8",
"Domain journeys: 120; events: 480; relationship sets: 120"
],
"outcomePrompts": [
{
"rank": 1,
"outcome": "cohort_support_plan_started",
"action": "Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.",
"confidence": "High",
"score": "0.7296",
"prompt": "You are Elite, the KynticAI recommendation-writing layer.\n\nUse only the governed Fortress handoff below. Do not invent facts.\n\nCase study: Cohort progression signal and student-success support plan\nDomain: Education / university operations\nStakeholder: Student success lead\nRuntime query: A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. What student-success operations action should happen next?\n\nGoverned facts:\n- Goal: support_cohort_progression\n- Primary path: cohort_support_plan_started, score 0.7296, high confidence\n- Supporting signals: advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster\n- Runtime relationship sets returned: 8\n- Domain journeys: 120; events: 480; relationship sets: 120\n\nCandidate outcome to explain:\n- Rank: 1\n- Outcome: cohort_support_plan_started\n- Action: Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.\n- Confidence: High\n- Score: 0.7296\n- Evidence summary: Comparable relationship sets ended in cohort_support_plan_started and share signals such as advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster.\n- Supporting relationship sets: set-6586ee813dc3, set-dab1c06dee9a, set-73036cb50e8a, set-5f63cb4e4d2f, set-442385d44256\n\nWrite the operational recommendation for this outcome.\nInclude why the comparable relationship sets support it, what the team should do now, when this outcome should be chosen over the other ranked options, and what reviewed outcome must be captured next.",
"expectedTextOutput": "Recommended action: Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.\n\nWhy this is supported: Fortress ranked cohort_support_plan_started first with score 0.7296 and high confidence. Comparable relationship sets ended in cohort_support_plan_started and share signals such as advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster. The supporting relationship sets are set-6586ee813dc3, set-dab1c06dee9a, set-73036cb50e8a, set-5f63cb4e4d2f, set-442385d44256.\n\nWhat to do now: brief the student success lead with the runtime query, the shared signals (advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster), and the exact action. Keep the action specific to this scenario rather than turning it into a generic campaign or workflow rule.\n\nWhen to choose an alternative: switch if the live evidence is closer to workshop_registered (Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.); advisor_contact_completed (Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.).\n\nOutcome to capture: record the action taken, the reviewed outcome, and any contradictory signal so the next Scout/Fortress comparison has stronger evidence."
},
{
"rank": 2,
"outcome": "workshop_registered",
"action": "Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.",
"confidence": "Medium",
"score": "0.3614",
"prompt": "You are Elite, the KynticAI recommendation-writing layer.\n\nUse only the governed Fortress handoff below. Do not invent facts.\n\nCase study: Cohort progression signal and student-success support plan\nDomain: Education / university operations\nStakeholder: Student success lead\nRuntime query: A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. What student-success operations action should happen next?\n\nGoverned facts:\n- Goal: support_cohort_progression\n- Primary path: cohort_support_plan_started, score 0.7296, high confidence\n- Supporting signals: advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster\n- Runtime relationship sets returned: 8\n- Domain journeys: 120; events: 480; relationship sets: 120\n\nCandidate outcome to explain:\n- Rank: 2\n- Outcome: workshop_registered\n- Action: Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.\n- Confidence: Medium\n- Score: 0.3614\n- Evidence summary: Comparable relationship sets ended in workshop_registered and share signals such as assessment_workshop, registration_completed, targeted_invite.\n- Supporting relationship sets: set-317a95076056\n\nWrite the operational recommendation for this outcome.\nInclude why the comparable relationship sets support it, what the team should do now, when this outcome should be chosen over the other ranked options, and what reviewed outcome must be captured next.",
"expectedTextOutput": "Alternative action: Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.\n\nWhy this route exists: Fortress returned workshop_registered at rank 2 with score 0.3614 and medium confidence. Comparable relationship sets ended in workshop_registered and share signals such as assessment_workshop, registration_completed, targeted_invite. The supporting relationship sets are set-317a95076056.\n\nWhen to use it: choose this instead of the primary route when the live evidence matches assessment_workshop, registration_completed, targeted_invite more closely than the current top-ranked outcome.\n\nWhat to do now: make the action explicit for the student success lead, preserve the caveat for this domain, and avoid inventing extra facts beyond the governed handoff.\n\nOutcome to capture: record whether workshop_registered happened and feed that reviewed result back into the relationship-set evidence."
},
{
"rank": 3,
"outcome": "advisor_contact_completed",
"action": "Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.",
"confidence": "Low",
"score": "0.1949",
"prompt": "You are Elite, the KynticAI recommendation-writing layer.\n\nUse only the governed Fortress handoff below. Do not invent facts.\n\nCase study: Cohort progression signal and student-success support plan\nDomain: Education / university operations\nStakeholder: Student success lead\nRuntime query: A student cohort shows attendance drop, LMS engagement decline, missed assessment checkpoints, and clustered support tickets. What student-success operations action should happen next?\n\nGoverned facts:\n- Goal: support_cohort_progression\n- Primary path: cohort_support_plan_started, score 0.7296, high confidence\n- Supporting signals: advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster\n- Runtime relationship sets returned: 8\n- Domain journeys: 120; events: 480; relationship sets: 120\n\nCandidate outcome to explain:\n- Rank: 3\n- Outcome: advisor_contact_completed\n- Action: Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.\n- Confidence: Low\n- Score: 0.1949\n- Evidence summary: Comparable relationship sets ended in advisor_contact_completed and share signals such as advisor_queue, contact_completed, repeated_engagement_gap.\n- Supporting relationship sets: set-498cb3a7a884\n\nWrite the operational recommendation for this outcome.\nInclude why the comparable relationship sets support it, what the team should do now, when this outcome should be chosen over the other ranked options, and what reviewed outcome must be captured next.",
"expectedTextOutput": "Alternative action: Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.\n\nWhy this route exists: Fortress returned advisor_contact_completed at rank 3 with score 0.1949 and low confidence. Comparable relationship sets ended in advisor_contact_completed and share signals such as advisor_queue, contact_completed, repeated_engagement_gap. The supporting relationship sets are set-498cb3a7a884.\n\nWhen to use it: choose this instead of the primary route when the live evidence matches advisor_queue, contact_completed, repeated_engagement_gap more closely than the current top-ranked outcome.\n\nWhat to do now: make the action explicit for the student success lead, preserve the caveat for this domain, and avoid inventing extra facts beyond the governed handoff.\n\nOutcome to capture: record whether advisor_contact_completed happened and feed that reviewed result back into the relationship-set evidence."
}
]
}Elite Textual Recommendation
Recommended action: Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.
Why this is supported: Fortress ranked cohort_support_plan_started first with score 0.7296 and high confidence. Comparable relationship sets ended in cohort_support_plan_started and share signals such as advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster. The supporting relationship sets are set-6586ee813dc3, set-dab1c06dee9a, set-73036cb50e8a, set-5f63cb4e4d2f, set-442385d44256.
What to do now: brief the student success lead with the runtime query, the shared signals (advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster), and the exact action. Keep the action specific to this scenario rather than turning it into a generic campaign or workflow rule.
When to choose an alternative: switch if the live evidence is closer to workshop_registered (Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions.); advisor_contact_completed (Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.).
Outcome to capture: record the action taken, the reviewed outcome, and any contradictory signal so the next Scout/Fortress comparison has stronger evidence.
Generated Elite Action Brief
- 01Recommended action: Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.
- 02Evidence: Comparable relationship sets ended in cohort_support_plan_started and share signals such as advisor_outreach, assessment_checkpoint_missed, attendance_drop, lms_engagement_decline, support_ticket_cluster.
- 03Primary action: Start a cohort support plan with advisor outreach, assessment-deadline triage, and targeted workshop invitations.
- 04Primary expected outcome: cohort_support_plan_started
- 05Alternatives: workshop_registered: Invite the cohort to the targeted assessment workshop and capture registration before escalating individual interventions. | advisor_contact_completed: Prioritise advisor contact for students with repeated engagement gaps before sending broad course communications.
- 06Capture the reviewed outcome and feed it back into the relationship-set evidence.
Reviewed outcome loop
- Capture which ranked action was taken.
- Record whether the expected outcome happened.
- Feed the reviewed outcome back into the next relationship-set comparison.
Boundary
Synthetic education-operations demo only. It is not live student data, automated academic decisioning, safeguarding advice, or regulatory proof.