💡 Risk-adaptive inspection interval optimization per colony

[github-actions[bot]]

Summary

Replace fixed weekly inspection schedules with dynamically optimized per-colony inspection intervals based on colony risk level, seasonal urgency, recent observations, pending treatments, and weather forecasts. A strong healthy hive in stable conditions might safely go 14 days between inspections, while a colony showing signs of queenlessness gets flagged for 3-day follow-up. This directly saves time for the Sideliner segment managing many hives and reduces unnecessary colony disturbance.

Market Signal

No competitor currently offers risk-adaptive inspection scheduling. HiveTracks and Beentry provide fixed reminder calendars. Hivemunk's Q4 2026 roadmap includes "AI-generated, personalized task schedules based on hive data, local climate patterns, and seasonal requirements" but hasn't shipped it yet. Research published in Scientific Reports (2026) on intelligent hive monitoring systems validates sensor-informed predictive models for scheduling interventions, demonstrating that variable inspection intervals outperform fixed schedules. Discussion #404 (Weather-integrated inspection window optimizer) addresses WHEN to inspect based on weather; this proposal addresses HOW OFTEN to inspect based on colony risk — a complementary but distinct capability.

User Signal

The PRD's Sideliner user journey (Elena, 50+ hives) identifies operational clarity and reduced planning overhead as primary value drivers. The weekly action queue prioritization system in the PRD implicitly assumes variable urgency across colonies. The Amateur user journey (Marcus) explicitly describes dynamic re-planning under constraints when limited weekend time forces triage — risk-adaptive intervals would automate this triage.

Technical Opportunity

The recommendation engine already produces priority-ranked action queues with urgency scoring (architecture.md: dynamic re-planning under constraints). Colony risk can be computed from inspection recency, observation severity, treatment status, and seasonal risk factors — all data already in the inspection/recommendation schema. Weather API integration (planned for environmental intelligence layer, Discussion #476) provides the external signal. The planning calendar UI (PRD: "baseline planning calendar and prioritized weekly action queue") is the natural surface for variable intervals.

Assessment

Dimension	Score	Rationale
Feasibility	high	Algorithmic risk scoring from existing data. Extends current recommendation engine priority logic. No new infrastructure required.
Impact	high	Directly saves the scarcest resource (beekeeper time) for the highest-value segment (Sideliners). Reduces unnecessary colony disturbance while increasing attention to at-risk colonies.
Urgency	med	Hivemunk has this on their roadmap for Q4 2026 but hasn't shipped. First-mover window exists.

Adversarial Review

Strongest objection: Recommending less frequent inspections could lead to missed problems. If a colony fails because the app said "don't check for 14 days," users will blame and distrust the system.

Rebuttal: The system never recommends SKIPPING inspection — it adjusts intervals within safe bounds based on risk. High-risk colonies get MORE frequent checks than a fixed weekly schedule would provide. The net effect is better attention allocation, not less attention. Conservative bounds ensure no colony goes longer than 14 days without review during active season. The confidence + fallback model means every recommendation comes with "If conditions change, check sooner." This actually improves outcomes by focusing attention where it matters most.

Suggested Next Step

Define the risk scoring model with input factors and weights (inspection recency: 25%, last observation severity: 30%, active treatment status: 20%, seasonal risk factor: 15%, weather forecast: 10%). Map the risk score to inspection interval ranges with conservative bounds per season (active season: 3-14 days, winter: 14-30 days). Design the UI treatment showing variable next-inspection dates on the planning calendar and hive health cards.