Human Risk & Awareness

Nudges at the Right Moment

Training is often too far removed from the moment of decision. Nudges help exactly there: short, context-aware prompts that reinforce standards in everyday work. Goal: fewer repeat errors, more stop moments – without noise.

Best for

  • Recurring risky decisions in critical processes
  • Tedious training, but a need for behaviour change
  • You want simple measures with high leverage

Outcome

  • Fewer repeat errors in critical situations
  • Guardrails become routine (Stop. Verify. Report.)
  • Noise drops through clear triggers and rotation

What you get

  • Moment map (“Moments that matter”)
  • Nudge library + rotation
  • Tone guidelines (helpful, not patronising)
  • Review cadence: remove noise, sharpen focus

Brief explanation

Your Challenge

Under stress, people decide quickly – and that’s exactly what attackers exploit. Training helps, but not in the moment. Poorly designed nudges get ignored or annoy.

Our Solution

We define target behaviour for critical situations and deliver nudges only at clear triggers. Frequency stays low, content rotates, noise is actively removed. Impact shows through fewer repeat errors and clearer behaviour in target situations.
Typical timeframe: 2–4 weeks to nudge set v1, followed by monthly optimisation.

Flow

1

Identify moments that matter

2

Define target behaviour + triggers

3

Deploy nudge set v1

4

Reinforce (short micro-guidance)

5

Refine (rotation, simplification, remove noise)

Frequently asked questions

Are nudges “yet more messages”?
Not if triggers and frequency are right. That’s exactly the point.

 

Where do nudges work best?
Recurring decisions: links, approvals, supplier changes, access, “urgent”.

 

How do you avoid desensitisation?
Rotation + less, but more relevant – and consistently removing noise.

 

Are integrations required?
They can help, but aren’t a must to get started.

Reduce errors where they happen.

Let’s select your 2–3 most critical decision moments and build a nudge set that works.