
Service
Product Design, UX, and Product Strategy
Discover, validate, and design digital products around real user needs and measurable business outcomes.
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Start with the problem
Customers receive uneven experiences across channels, journeys, products, or service interactions because systems and processes are not aligned.
Connected context
Ingenuity’s taxonomy is a relationship model. Each term becomes more useful when it is connected to the problems, outcomes, capabilities, contexts, and evidence around it.
Outcomes to pursue
Affected audiences
Evidence and thinking
Case studies show application. Insights, frameworks, and resources expose the reasoning and knowledge that support the work.
Case studies
Evidence from delivery
Case Study
Ingenuity was engaged to rebuild Not In My Country's anti-corruption platform from a university-focused crowdsourcing site into a more usable, secure, multilingual and extensible platform capable…
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Case Study
Ingenuity took over design and development responsibility for Fruit Street's existing digital health application and marketing website, helping stabilize a complex handoff, improve product and UX…
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Case Study
Ingenuity helped Sweden-based Edward Lynx Management Consulting translate its established leadership-development methodology into a mobile product designed to keep goals, feedback, reminders, and follow-up activities accessible…
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Knowledge
Insights, frameworks, and resources
Insight
PerspectiveThe hardest part of loyalty is rarely awarding points. It is coordinating identity, transactions, offers, rules, channels, customer service, data, and operations so the customer experiences…
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Insight
GuideProduct validation is not asking users whether they like an idea. It is reducing the uncertainty behind a consequential investment decision before design and engineering cost…
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Insight
GuideA public service is larger than its interface. Design the citizen journey, backstage operations, information flows, policies, and technology as one system.
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Framework
A decision-oriented canvas for identifying the assumptions, evidence, users, experiments, and decision criteria that should be resolved before increasing product investment.
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Start with the context
You do not need to know the technology or implementation approach yet. Start with the challenge and the outcome you want to create.