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Product design

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What if we shift the focus from solutions to problems? A view on UX research and why prioritizing problems pays off in the long run

Prioritizing Problems to Inform Product Design
  • Focusing on solutions as you start UX research might lead to misunderstanding or overlooking user problems, which in turn, damages the whole design and development process.
  • To decrease the risk of poorly developed solutions and costly adjustments, it’s necessary to invest time and effort in discovering user problems and pain points, clearly distinguish them from users’ goals, and use diverse research methods.
  • Although focusing on pain points might seem more time-consuming initially, problems are more concrete, easier to uncover, and ultimately are the source for meaningful solutions.

Read the full article for perspective on how this shift from focusing on solutions to focusing on problems can be a powerful tool as you begin UX research.

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11 min read

Learn how to address differences in cultural background to design products that provide exceptional customer experience in every corner of the world.

Why cross-cultural design really matters
  • When expanding a product internationally, it is essential to bear in mind users’ cultural background.
  • A close focus on the cultural background can ease the product design process and helps manufacture products that are meaningful for an international audience and reflect the best market practices.
  • It is vital to invest in user research as it allows to identify the potential pitfalls at the early stages and obtain a greater understanding of users’ habits, needs, pain points which often depend on their cultural background.

Read the full article to learn more about designing for different cultural backgrounds.

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9 min read

Strategic insights on how to scale up a product successfully by investing in the UX process and design team.

Scaling A Startup: A UX Perspective
  • One of the major causes for failure in scaling up is the lack of idea validation.
  • Design Thinking framework provides a valuable path for preparing start-ups to scale up by assessing users’ needs and priorities. Another key step is to expand the UX team at the right moment to ensure proper validation and testing of ideas.
  • Investing in UX design allows to scale up a start-up efficiently while minimizing the risks.
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7 min read

A quick guide to introducing your app to users

How to design onboarding flows
  • Well-thought user onboarding is essential for customers engagement, satisfaction and ultimately their retention.
  • Best practices of exceptional onboarding experience include providing a simple overview of the product’s main features, use of visual content and motion design, concise copy.
  • Additionally, it is important to allow users to see their progress in the onboarding and skip non-essential steps.
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4 min read

Support logs are one of the most important sources of customer insights. These ‘insights’ are often ignored or sidelined by other departments’ teams because they are mistrusted or lack context.

6 Tips for Making Customer Insights Actionable
  • Support logs are one of the most important sources of customer insights, but they’re often ignored or sidelined by other departments’ teams because customer insight isn’t trusted in general.
  • To trust customer insight, you need to make sure it answers these two questions:
    • Is the information provided something I can actually make a business decision based on?
    • How much will it matter if I do make a decision based on it?

6 characteristics of actionable insights:

  1. Contextualized. There are a few ways to contextualize customer insight: volume, sentiment, tying it to outcomes data.
  2. ‍Insightful. Insightful customer feedback says something new and useful.
  3. Fast. Try looking at improving speed to insight by tagging ‘reasons for contact’ in support tickets and using NLP to sort them faster.
  4. Granular—the devil is in the details. Customer feedback surveys are often not actionable without a further root cause analysis; answers are often too high level or generic.
  5. Statistically Significant. It’s easy to get hung up on quantitative measures, and it takes a lot of time to sift through qualitative feedback, and usually, only a small sample is taken. How can large business decisions be made without statistically significant evidence?
  6. Unbiased. There are two main buckets of customer survey bias to avoid: response bias (how the actual survey questionnaire is constructed) and selection bias (the results are skewed a certain way).
Read the full article to get ideas on how your teams can start getting meaningful insights from support logs.
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5 min read

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