Contextual Triggers
Behavior-triggered Comms,
Not Calendar-triggered.
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The Operating Model Shifts from
Manual Coordination to Always-on
Set the stage for how their operating model will change (becomes always-on and not manual),
before diving into the specific how/scenarios.
Show Legacy Process
Before Go-Live
Identify resistance and confidence gaps before adoption breaks down
After Go-Live
Sustain adoption automatically without manual follow-up
During Go-Live
Reinforce behaviors directly inside workflows
In the moment of need
Multiple initiatives contribute data at once, in-house capability grows a lot faster than with linear projects
Always relevant
Insights like “is the productivity bottleneck process or people?” inform business decisions.
Coordination at scale
Establish a common decision-making framework, so prioritization is done transparently
How Contextual Triggers
Automate Activation (examples)
The Knowledge Base is the foundation — but it earns its keep when context, content,
and timing converge into a single, automated motion.
Define the Trigger
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Define the Audience
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Define the Response
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Granular Trigger Customization for
Every Initiative
Every signal is composable. Combine workflow events with time windows, demographic filters, and response thresholds. The system re-evaluates continuously — the moment someone meets the criteria, the trigger fires. The moment they no longer meet it, the trigger stops. No spreadsheet. No manual list-keeping.
Context is the only thing that turns information into intelligence
— and intelligence into action.
Mike Ackermann
Adaptation Goes from
Reactive to Always-on
A single trigger isn't a feature — it's a closed loop that the system runs continuously,
on every employee, across every initiative. Here's the loop in flight.
Doesn’t do something (inaction)
Reminders fire before disengagement hardens; creating urgency to complete pending actions.
Exhibits resistance/submits negative feedback
Prevent escalation with timely reinforcement (like content that builds confidence) and updated messaging.
Drops below adoption/engagement threshold
Reengagement tactics deployed to bring people back on track.
Registers a workflow error
Refreshers deliver instantly so errors don’t pile up and become a habit (much harder to curb).
Automated reinforcement at scale
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Real-time interventions
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Adoption that sticks
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Types of Triggers
Two layers of intelligence — organizational and initiative-specific
— feed every piece of content, every nudge, every AI response.
Workflow triggers
What people did (or didn't do) in connected tools
Highly specific actions in the systems your employees actually work in — Salesforce, Workday, SAP, ServiceNow, Copilot, custom CRMs. The biggest, most common source of trigger signal.
Examples
Started a CPQ approval for the first time
Completed a procurement workflow 10 times this week
Hasn't submitted a timesheet by Friday noon
Pressed the wrong button in S/4HANA
Response triggers
What people told you, explicitly.
Direct signals from how employees responded to a quiz, pulse check, knowledge test, or sentiment slider. The "voice of the workforce" signal — captured continuously, not in an annual survey.
Examples
Scored below 6 on an AI readiness assessment
Answered a knowledge check incorrectly
Selected "skeptical" on a sentiment pulse
Reported low confidence on this week's check-in
What people did inside the platform, implicitly.
How employees actually behaved around your content — what they engaged with, what they skipped, what they shared, what they came back to. The signal that catches "fake engaged" and surfaces hidden champions.
Examples
Dropped off halfway through a video
Hasn't opened anything in 14 days
Forwarded a podcast to three colleagues
Replayed the same power read four times
Every Trigger Generates Data
that Builds In-House Capability
The triggers provide data on what works and what doesn’t, what actually drives adoption
— informs future strategy, refines execution.
Format vs. Adoption
Which format actually drives reengagement?
Does a 2-minute video after a workflow error produce faster correction than a power read? The data shows which format drives reengagement for which persona.
Timing vs. Completion
How fast does the trigger need to fire?
Content delivered within an hour of a trigger fires at significantly higher completion rates than the same content delivered the next morning.
Trigger condition vs. Outcome
Which leading indicator most reliably predicts adoption?
Which leading indicator most reliably predicts full adoption for this persona group — low readiness score, content drop-off, or inactivity? Patterns emerge across the portfolio that inform how you set trigger logic for future initiatives.
The Silent Signal
What it means when a trigger fires and nothing happens.
Content delivered within an hour of a trigger lands at significantly higher completion rates than the same content delivered the next morning. The latency that matters varies by persona — and the data tells you exactly where.
This is where in-house capability is actually built — by reading silence, not by celebrating opens.
Operationalize Change
at Enterprise Scale
Instead of relying on central teams to manually monitor adoption, segment audiences, and deploy follow-ups, Tigerhall continuously orchestrates personalized reinforcement automatically across every initiative.
Because adoption doesn’t happen at launch. It happens in the moments employees actually work.
Manual → Autonomous
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Scheduled → Behavioral
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Reactive → Predictive
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One-time → Continuous
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