UX Research Field Study

Understanding Behavioral & Systematic Barriers in Urban E-Waste Disposal

A human-centric UX research study in Ahmedabad and Gandhinagar exploring why 95-98% of e-waste ends up in hazardous informal channels despite existing formal infrastructure.

By: Akshat Panchasara Master's in Design | IUxD Dhirubhai Ambani University February 2026
Executive Summary

The Awareness-Action Paradox

Despite high awareness levels, formal e-waste recycling remains critically underutilized. Our mixed-methods research combining a consumer survey (n=82, with 75 validated in the UX report) and expert interviews with E.coli Waste Management Systems reveals a systemic failure rooted in behavioral barriers, not awareness deficits.

Research Context

Study Background & Methodology

Ahmedabad (8.5M residents) and Gandhinagar (2M residents) generate 14,000-25,000 metric tons of e-waste annually, with only 2-8% entering formal recycling systems. The E-Waste Management Rules 2016 exist but enforcement remains weak.

"We have installed processing capacity of 600 metric tons per month, but we only receive 10-15 metric tons. We're operating at under 2.5% capacity while 95% of e-waste goes through hazardous informal channels."

— Senior Representative, E.coli Waste Management Systems Pvt. Ltd.

Key Insight #1

The Awareness-Action Gap

87% of respondents have heard the term "E-waste" — but only 6.1% have actually recycled a device formally. This is not an awareness problem; it is an action pathway problem.

E-Waste Term Awareness

Distribution of awareness levels (n=82)

Knowledge of Disposal Services

Do you know where to safely dispose of e-waste?

Behavioral Flow: Awareness → Disposal → Motivation

Sankey diagram showing how awareness level connects to disposal behavior and underlying motivations

Disposal Behavior

What People Actually Do With Old Devices

45% keep devices at home indefinitely. The informal sector's doorstep service eliminates friction, creating a default path of least resistance. Formal recycling barely registers in behavioral data.

Last Device Disposal Method

What did you do with the last electronic device you stopped using?

Disposal Method × Motivation

Cross-tabulation of what people did and why

Home Device Accumulation

92% have unused/broken electronics at home

E-Waste Identification

What People Think Counts as E-Waste

Statistically significant associations (p<0.05) were found between awareness of the term "E-waste" and correctly identifying mobile phones (p=0.0106), laptops/computers (p=0.0111), and chargers/earphones (p=0.0049).

E-Waste Item Recognition (Sunburst)

Items recognized as e-waste, segmented by awareness level

Perception of E-Waste Fate

What people think happens after collection

Key Insight #2

Data Privacy: A Genuine Trust Barrier

27% cite data/privacy concerns as the primary disposal motivation. 88% attempt data wiping before disposal — behavioral consistency validates this as a genuine barrier, not merely a stated concern. Yet 94% are unaware that formal recyclers offer certified data destruction.

Disposal Decision Factors

Radar comparison of key behavioral drivers

Pre-Disposal Data Actions

What users do before giving away a device

Recycling Motivators

What Would Make People Recycle?

76% want door-to-door pickup — yet this service already exists and is unused. The perception-reality gap reveals that the problem isn't service availability, but service visibility and trust.

Factors That Would Increase Recycling

Multi-select: up to two options per respondent

Awareness Campaign Exposure

Have you seen or interacted with an e-waste awareness initiative?

Statistical Analysis

Chi-Square & T-Test Results

Rigorous statistical testing reveals which relationships between awareness, behavior, and knowledge are genuinely significant versus coincidental.

P-Value Heatmap: Variable Associations

Green = significant (p<0.05), Red = not significant. Lower values indicate stronger associations.

Chi-Square Test Results

Variable Pairχ² Statisticp-ValueDoFResult
Field Research

Expert Interview: E.coli Waste Management

A 3-hour contextual inquiry with a senior representative of one of the largest authorized e-waste recycling facilities serving Ahmedabad and Gandhinagar revealed critical system-level failures.

"Return of money is the primary consumer motivation. The informal sector offers ₹50-100 cash for old smartphones immediately at the doorstep. We offer free pickup with environmental responsibility — but that doesn't compete economically."

— Senior Representative, E.coli Waste Management Systems Pvt. Ltd.

Gap Analysis

Identified Gaps & Issues

Seven critical gaps emerged from triangulating survey data, expert interviews, and secondary research — revealing systemic failures at every level of the e-waste disposal ecosystem.

Design Directions

E-Waste Kiosk: Feature Recommendations

Based on survey insights and behavioral analysis, the following feature recommendations address the specific barriers identified in this research. The kiosk should serve as both an educational tool and an action enabler.

Campaign Concepts

Alternative Awareness Campaigns

Three data-driven campaign concepts derived from survey insights, each targeting a specific behavioral barrier identified in the research.

Plausible Alternatives

Alternative Solutions

Beyond campaigns, these systemic interventions address root causes identified across the stakeholder ecosystem.

Conclusion

Key Takeaways

This research reveals that the e-waste disposal crisis in Ahmedabad and Gandhinagar is not a problem of awareness — it is a problem of action pathway design. The formal system fails not because people don't care, but because it doesn't meet them where they are.

Bibliography

References