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Product teams often build on modern, powerful devices. In the public sector, users have varied access to technology. Success requires designing for older hardware, slower connections, and less tech-savvy users, ensuring accessibility for the most vulnerable populations.

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Unlike private tech, government digital services often lack basic instrumentation like user funnels. This blindness to where users drop off means millions can lose benefits due to simple software bugs or confusing design, with agencies unaware of the root cause until manual intervention.

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Unlike private sector products that target specific demographics, government digital services must cater to an extremely diverse user base, including people with low income, no permanent address, and vast age differences. This necessitates a rigorous, non-assumptive approach to user research and accessibility from the outset.

Public sector services address pre-existing, often urgent needs. The product manager's role isn't marketing or demand generation, but rather simplifying access and reducing the administrative burden for a captive, often vulnerable, user base.

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A common AI implementation failure is assuming users think like technologists. Trivial technical details can be huge adoption blockers. To succeed, focus on building user trust and actively partner with customers to operationalize the technology, rather than simply delivering it and expecting them to figure it out.

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GovTech Teams Must Build for the 'Lowest Common Digital Denominator,' Not Their Own Devices | RiffOn