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Manual and Automated QA for Planning Visual planning software that improves firm-wide performance by delivering trusted insights, better project performance, and optimized resource utilization across offices and disciplines. Planifi helps lean organizations do more with less: increase productivity, decrease wasted resource hours, and deliver visibility into project performance across your entire firm.
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Personalized Meal Planner App — Mobile UI/UX Design
“What should I eat this week?”
It sounds simple.
But once you add dietary preferences, food dislikes, nutrition goals, cooking time and everyday routines, meal planning gets complicated pretty quickly.
For this concept, we explored a mobile experience that takes those details into account and turns them into a more useful, personalized meal plan.
The focus was on keeping the experience simple:
Tell us what works for you → get a plan that fits.
No endless scrolling through recipes.
No rigid one-size-fits-all plans.
Just a more personal way to decide what to eat.
Services: UI/UX Design · Mobile App Design · Product Design · Food Tech Design
If you're building a food-tech, nutrition, wellness or consumer app, we'd love to hear about it.
Open almost any app with a stats screen and you hit the same miss. It counts something, then leaves you to work out why you should care.
"400 hours" and "400 hours reclaimed" are the same number. One reads as a metric. The other is a small win the user gets to own.
Most products stop at the count. Sessions, streaks, totals, all true and all forgettable.
Do that work for them. Say what the number bought them. Time back, progress made, a habit they're keeping.
Leave the user to supply the meaning and most won't. They close the screen, and the one thing that might pull them back tomorrow closes with it.
This is so true. A number means a lot more when you show the actual win behind it.
Lately been testing out @MagicPath ,@Claude and @Figma workflow for designing graphics.
While AI tools can get you till 80-90% , you can export and tweak the details in Figma until you're happy with the final output.
80-90% with AI tools tracks with what I've seen too. Where does that last stretch usually go, mostly typography and spacing tweaks, or does the output sometimes need bigger structural fixes before it's client ready?