Automotive & mobility

B2C

Making bike security automatic with behavioural design

Client

Bosch eBikes

Bosch eBikes

Model

Product accelerators (x3)

Product accelerators (x3)

Services

Product strategy

Product strategy

UX/UI design

UX/UI design

User research

User research

Rapid prototyping

Rapid prototyping

Info

Bosch eBike Systems partners with 100+ bike brands including Trek, Specialized, and Giant.

Their eBike Flow app had 1 million users and comprehensive anti-theft features: motor disabling, battery locks, alarms. But users weren't engaging them.

Bikes were still getting stolen because security required conscious effort at moments of high cognitive load.

Challenge

People don't reliably perform security behaviours. Research shows users abandon complex routines, especially when rushing or distracted.

Bosch's anti-theft features suffered from this behavioural reality. Each feature required manual activation through separate interactions.

The company wanted to integrate third-party smart locks, but adding more components would increase friction. Users would need to remember more steps, manage more apps, coordinate more devices. Standard design thinking says give users control. Behavioural science says people take the path of least effort.

How do you design security that overcomes human inertia? How do you create protection that doesn't depend on users remembering steps during moments when their attention is elsewhere?

Our analysis

Security fails when it demands action during high cognitive load moments. People parking bikes think about destinations, check time, gather belongings. Security protocols compete with immediate priorities and lose.

We applied behavioural analysis identifying three requirements:

Reduce friction through automation.
People gravitate to the least demanding action. Manual activation requires conscious effort every time. The behaviour won't stick. Automatic triggers that understand context eliminate this friction.

Match responses to motivation levels. Low theft risk (bike at home) means low motivation, so asking users to engage heavy security creates resistance. High risk (extended city parking) increases motivation naturally. Match security intensity to natural motivation levels in each context.

Increase ability, not just motivation.
Even motivated users face barriers: no secure parking points, no time for multi-step protocols, forgetting which features are active. The Fogg Behaviour Model shows behaviour needs motivation, ability, and triggers together. We needed to increase ability whilst decreasing required motivation.

What we did

01.

Mapped behavioural barriers across contexts

We researched security behaviour in different scenarios: quick errands, overnight parking, home storage, transit. Each has different theft risk (motivation), time pressure (ability), and competing priorities. This revealed why manual activation fails: it demands high motivation and ability simultaneously at moments when users have neither.

Mapped behavioural barriers across contexts

We researched security behaviour in different scenarios: quick errands, overnight parking, home storage, transit. Each has different theft risk (motivation), time pressure (ability), and competing priorities. This revealed why manual activation fails: it demands high motivation and ability simultaneously at moments when users have neither.

02.

Designed contextual triggers eliminating conscious effort

We created two-condition trigger systems that activate security based on behaviour, not manual input. This removes the decision burden. Users don't remember steps, rather the system detects intent through observable actions.

Designed contextual triggers eliminating conscious effort

We created two-condition trigger systems that activate security based on behaviour, not manual input. This removes the decision burden. Users don't remember steps, rather the system detects intent through observable actions.

03.

Removed friction from multi-component coordination

Adding external locks typically means more apps, more steps, more things to remember. We designed interaction flows where third-party locks coordinate automatically through the same triggers. Whether external lock, frame lock or battery lock, all would activate together based on context detection. This scales protection without scaling friction.

Removed friction from multi-component coordination

Adding external locks typically means more apps, more steps, more things to remember. We designed interaction flows where third-party locks coordinate automatically through the same triggers. Whether external lock, frame lock or battery lock, all would activate together based on context detection. This scales protection without scaling friction.

04.

Created behavioural frameworks for ongoing decisions

We introduced the Fogg Behaviour Model and motivation-ability mapping as tools Bosch's teams could apply independently. When evaluating new features, they could assess: Does this increase ability or demand more motivation? Does it reduce friction or add steps? These became criteria for design decisions.

Created behavioural frameworks for ongoing decisions

We introduced the Fogg Behaviour Model and motivation-ability mapping as tools Bosch's teams could apply independently. When evaluating new features, they could assess: Does this increase ability or demand more motivation? Does it reduce friction or add steps? These became criteria for design decisions.

Project impact

Behavior-driven security activation

Security activates automatically when users leave, no manual steps. Observable actions like walking away trigger protection, eliminating the friction that made people skip locking.

Behavior-driven security activation

Security activates automatically when users leave, no manual steps. Observable actions like walking away trigger protection, eliminating the friction that made people skip locking.

Different locks, one experience

Multiple lock vendors integrated without added complexity. Users don't manage separate apps or remember which locks are engaged. Everything activates through the same contextual triggers.

Different locks, one experience

Multiple lock vendors integrated without added complexity. Users don't manage separate apps or remember which locks are engaged. Everything activates through the same contextual triggers.

Design capability upgraded

The Fogg Behaviour Model and friction analysis became tools Bosch's product teams apply when evaluating features, building permanent capability for assessing future design decisions.

Design capability upgraded

The Fogg Behaviour Model and friction analysis became tools Bosch's product teams apply when evaluating features, building permanent capability for assessing future design decisions.

If your primary problem is engagement, you need to design for behaviour change, not just interfaces.

Products fail when they demand behaviours users won't maintain. Our behavioural design framework operates on a higher level than pixels and features, looking at motivation, ability and triggers. This creates design systems that work with human psychology rather than against it.

Our accelerator model validates behavioural interventions through research and rapid prototyping before engineering commitment. We compress months of behavioural analysis into focused sprints with clear deliverables.