We’ve spent decades raising awareness about gender equality — but awareness alone rarely changes behaviour. Real transformation requires rewiring what men feel, expect, and do in everyday life. Behavioural science offers tools to move men from passive awareness to active allyship — by shifting social cues, motivations, and the norms that shape them.

The Limits of Awareness

We often find that awareness campaigns, however powerful, reach a plateau. Posters, pledges, and social media hashtags can inspire reflection but seldom drive sustained change. In South Asia, where gender norms are deeply embedded in daily routines, men may agree with equality in principle but act differently in practice.

According to the State of Men and Boys in South Asia Report (Equimundo, 2023), while over 70% of surveyed men in India and Bangladesh expressed support for women’s education, fewer than 35% said they would share unpaid household work equally. This gap — between belief and behaviour — highlights a core truth of behavioural science: knowledge does not guarantee action.

Awareness alone cannot undo centuries of social conditioning. What we need is an understanding of why men behave as they do — and what helps them behave differently.

Why Behavioural Science Matters

Behavioural science helps decode the invisible architecture of decision-making — how habits, incentives, emotions, and social cues shape what people actually do. For those of us working on gender equality, it offers a bridge between attitude change and lived transformation.

We often find that the most well-designed gender sensitization workshops or campaigns fail to sustain behaviour change because they do not account for contextual frictions. Men may face social sanctions for showing care, fear loss of status, or lack cues that support new identities. Behavioural frameworks such as the Fogg Behaviour Model (Fogg, 2009) or Social Norms Theory (Bicchieri, 2017) help us identify levers — motivation, ability, and prompt — that make equitable behaviour more likely.

By integrating these models, we can move beyond awareness to design interventions that are not only persuasive but habit-forming.

Behavioural science must be grounded in an understanding of power. Men’s ability to act differently is not shaped by prompts alone — it is mediated by caste, class, religion, age, and geography. For example, a young Dalit man in rural Bihar may face different social sanctions than an upper-caste urban professional when expressing care or supporting women’s mobility.

Intersectional analysis helps us ask:

• Who is allowed to deviate from norms?
• Whose behaviour is policed more harshly?
• What structural barriers limit the uptake of new behaviours?

Without this lens, behavioural interventions risk reinforcing dominant norms rather than challenging them.

Applying the Fogg Behaviour Model

The Fogg Behaviour Model (FBM) posits that behaviour happens when motivation, ability, and a prompt converge at the same moment. If any element is missing, behaviour will not occur.

Imagine a digital fatherhood campaign in India that encourages men to spend 30 minutes of active caregiving daily. Awareness alone might not suffice — but if the intervention uses FBM principles, it can be more effective:

• Motivation: Short videos portraying caregiving as a source of pride and emotional connection (reframing masculinity as care).
• Ability: Simple, doable actions — “read a story to your child tonight” — reduce friction.
• Prompt: A WhatsApp reminder from a peer group, or a short audio message from a well-known cricketer, serves as a behavioural nudge.

By layering these elements, the campaign converts abstract intention into a concrete routine. Small, repeated actions form new habits — and habits, over time, shift norms.

In another country, a similar hypothetical intervention could use mobile-based learning prompts for male community leaders — brief stories illustrating men who model fairness, followed by a prompt to discuss one example in their village meeting that week. The behaviour (public endorsement of equality) becomes both visible and replicable.

Applying Social Norms Theory

While FBM helps us design for individual behaviour, Social Norms Theory reminds us that individuals act within shared expectations. People often conform not because they believe something is right, but because they think others expect it.

For example, in rural Bihar, a man may personally support his wife’s employment but refrain from saying so publicly to avoid ridicule. This dynamic — where perceived norms are stronger than personal beliefs — creates what Bicchieri (2017) calls a pluralistic ignorance trap.

To address this, interventions must:

1. Reveal false norms: Use data and stories to show that many men privately support equality.
2. Amplify positive deviants: Showcase men who share domestic work or support daughters’ education.
3. Leverage reference groups: Engage local influencers — teachers, religious leaders, employers — who shape what is socially approved.

Imagine a community-based initiative in Bangladesh called “Equal Streets” — where rickshaw pullers participate in weekly reflection groups that unpack “what makes a good man.” Over time, collective discussions and visible peer commitments begin to redefine respect and strength as empathy and fairness.

This is not about teaching men what to think, but about creating conditions where equitable behaviour becomes socially rewarded rather than punished.

While social norms are often treated as fixed expectations, they are in fact dynamic — shaped and reshaped through visible peer behaviour. Research by Paluck & Ball (2010) shows that norm cascades occur when individuals observe others publicly endorsing new behaviours, triggering a ripple effect of change. This is especially relevant in South Asia, where silence and conformity often mask private support for gender equality.

To design for norm evolution, we must:

• Make private beliefs visible: Use storytelling and data to surface latent support for equality.
• Activate reference group dynamics: Engage influential peers whose actions signal what is newly acceptable.
• Track norm shifts over time: Monitor how public commitments by a few men influence broader community expectations.

This approach moves us from norm diagnosis to norm disruption — a critical leap for transformative programming.

Designing the Next Generation of Interventions

As practitioners, we often find that the next frontier lies in integration: combining behavioural insights with gender-transformative approaches. Future programmes should:

• Design micro-prompts within macro-change efforts: Whether through digital nudges or community rituals, embed timely cues that reinforce equality.
• Measure social diffusion, not just individual change: Track how one man’s shift affects his peers, workplace, or family.
• Prototype and test iteratively: Use A/B testing in community programmes — for example, testing whether humour-based prompts outperform moral messaging.
• Normalize care and vulnerability: Media can showcase diverse masculinities, positioning empathy as aspirational rather than exceptional.

These are not just programmatic tweaks; they represent a paradigm shift. We move from teaching men about gender equality to designing environments that make equality the easiest choice.

Conclusion

We have reached a point where raising awareness is no longer enough. Men in India and South Asia do not need more information — they need new experiences, cues, and motivations that make equality feel natural, rewarding, and collectively shared. While we need to look at the gender-transformative behavioural design, we need to ensure that along with motivation, we need to focus on accountabilities and peer norms as well.

• M – Motivation: Reframe masculinity to make care, fairness, and empathy aspirational.
• A – Accountability: Embed public commitments and feedback loops that sustain change.
• P – Peer Norms: Leverage visible peer behaviour to shift what is seen as socially acceptable.

This would help practitioners move from intention to transformation — by designing environments where equitable behaviour is not only possible, but contagious.

Behavioural science gives us the toolkit to get there. When we design for the micro-moments of change — a message, a habit, a conversation — we begin to rewire the deeper social fabric.

The future of gender equality, we believe, will depend not just on what people know, but on what they are enabled and inspired to do.

References

Bicchieri, C. (2017). Norms in the Wild: How to Diagnose, Measure, and Change Social Norms. Oxford University Press.

Equimundo. (2023). State of Men and Boys in South Asia Report. Washington, DC: Equimundo.

Fogg, B. J. (2009). A Behavior Model for Persuasive Design. Proceedings of the 4th International Conference on Persuasive Technology.

Heise, L., & Manji, K. (2016). Social Norms. GSDRC Professional Development Reading Pack. University of Birmingham.

UN Women. (2022). Transforming Masculinities in South Asia: Programmatic Lessons from the Field. New Delhi: UN Women Regional Office for Asia and the Pacific.

World Bank. (2021). Mind, Society, and Behavior: Applying Behavioral Insights to Gender Equality. Washington, DC.