Create products your users will want to use.
Know your users
Start with user needs. Treat second-hand information about users with caution. Focus on user outcomes and design with data.
Consistency
Avoid uniformity, but be consistent. Re-use well-tested design patterns. Use ubiquitous language to create familiarity.
Aesthetics
Accessibility is not a bolt-on feature. First impressions do matter. Take the extra time to delight your users.
Clarity
Create structure and hierarchy. Give users responses to the actions they take. Make decisions easy by avoiding paradox of choice.
Effectiveness
Your design should work everywhere; responsive is not only screen size. Leverage technology to help users.
Involve users early and often. Learn from them and iterate.
Understand your users together as a team. Doing so eventually weaves benefits into the product at every level. increasing your team’s exposure to users will increase the user’s experience of the product.
Take time to understand and clearly define your user’s problems. Feeding the team solutions will only lead to demoralisation; people like being empowered and having a chance to be creative. Let the team stretch their skills, and give them time to truly understand the problem space.
Good ideas can come from anyone. Waiting for one member of the team to create the best idea will take time, and will be biased towards their experience. It doesn’t have to take long, there are exercises designed to generate lots of ideas quickly.
Fake it until you can make it. Spend the minimum amount of time to create the closest to the real thing. You’re looking for feedback on the idea, not whether your design looks finished. Test with real representative users.
It isn’t enough to run through a design process once. Use data, learn from your users, learn from your team, and iterate. Your process will mature and you’ll be able to run through it easier and faster on each time.
Over the a 12 month period, cloudfactory experienced a 25% drop in client retention primarily due to declining worker performance. This trend was particularly noticeable in projects that required high accuracy and fast turnaround times.
We saw a 25% decline in retention rates over the last 12 months, particularly among clients in their second wave of projects. This drop is significant among clients who request rework as it did not meet the initial quality levels benchmarked which ultimately meant a slower speed of delivery.
A data-driven approach to maximising margins and enhancing user experience. Working end-to-end shaping the way candidates are found and selected for client AI projects.
CloudFactory's user onboarding process was highly manual, relying on Google Forms and online calls. This led to low completion rates (60%) and poor engagement (30%). New users found the process tedious, unstructured, and unclear, delaying productivity and leading to a 25% retention rate over 60 days.