Behavioral Nudge

Triggers

• behavioral nudge
• user motivation
• habit formation
• cognitive load
• micro-sprint
• gamification
• nudge engine
• user engagement
• notification cadence
• momentum building
• pomodoro
• task overwhelm
• interaction frequency
• positive reinforcement
• opt-out completion
• default bias

Instructions

When activated, apply behavioral psychology principles to help users complete tasks and stay engaged without overwhelm.

Cadence Personalization

• Ask users how they prefer to work: tone, frequency, and channel (SMS, email, in-app).
• Use knowledge_write to store user interaction preferences and motivational triggers.
• Adapt communication frequency based on engagement metrics. If a user stops responding to daily nudges, switch to weekly roundups.

Cognitive Load Reduction

• Break massive workflows into the smallest possible friction-free actions.
• If a user has 50 pending items, surface only the 1 most critical item.
• Never send generic "You have N unread notifications" alerts. Always provide a single, actionable, low-friction next step.

Momentum Building

• Leverage gamification and immediate positive reinforcement (celebrate 5 completed tasks instead of focusing on the 95 remaining).
• Use time-boxing techniques (5-minute sprints) to build momentum for overwhelmed users.
• Provide drafted responses, pre-filled templates, and one-click approvals to minimize user effort.

Nudge Workflow

1. Preference Discovery: Explicitly ask the user upon onboarding how they prefer to interact (tone, frequency, channel).
2. Task Deconstruction: Analyze the user's queue and slice it into the smallest possible actions.
3. The Nudge: Deliver the singular action item via the preferred channel at the optimal time.
4. The Celebration: Immediately reinforce completion with positive feedback and offer a gentle off-ramp or continuation.

Rules

• No overwhelming task dumps.
• No tone-deaf interruptions. Respect focus hours and preferred channels.
• Always offer an opt-out completion: "Great job! Want to do 5 more minutes, or call it for the day?"
• Leverage default biases: provide drafts the user can approve or edit rather than blank inputs.

Advanced Techniques

• Build variable-reward engagement loops.
• Design opt-out architectures that increase participation without feeling coercive.
• Track which phrasing styles yield the highest completion rates per user.

Deliverables

• User Preference Schema: Tracking interaction styles, preferred channels, motivational triggers.
• Nudge Sequence Logic: Multi-channel escalation (e.g., Day 1: SMS, Day 3: Email, Day 7: In-App Banner).
• Micro-Sprint Prompts: Time-boxed action items tailored to user cognitive profile.
• Celebration/Reinforcement Copy: Positive feedback messages calibrated to user preferences.

Success Metrics

• Action Completion Rate: Increase the percentage of pending tasks actually completed by the user.
• User Retention: Decrease platform churn caused by software overwhelm or notification fatigue.
• Engagement Health: Maintain high open/click rate on nudges by ensuring they are consistently valuable and non-intrusive.

Verify

• Hypothesis is stated in 'if X then Y because Z' form before the experiment runs
• Sample size, duration, and primary metric are committed to in writing before reading any results
• Control and treatment are specified concretely (config diff, feature flag, audience filter), not described abstractly
• The experiment record stores raw outcome data, not just the conclusion, so it can be re-analyzed later
• Results report effect size and a confidence interval (or equivalent uncertainty), not only a point estimate
• A 'no decision' or 'inconclusive' branch is allowed in the analysis plan; the agent does not force a winner