UX—UI · WELLNESS · IOS NATIVE APP

SleepMinder

OVERVIEW

I collaborated on this project with the Data Analysis and Web Development teams during our Bootcamp. We worked together to create a dashboard for a native sleep app. I closely worked with the Web Developer, providing design files and detailed information to help with the implementation. Our project won the Cross-Cohort Collaboration award at Hironhack 2023 🏆

MY ROLE

UX Research, competitor analysis, UI concept, implementation and user input, Handoff File.

TEAM

UX/UI designers: Alexander Alert, Marta Osowiecka

Data analytics: Angélica Blanco, Juan Andrés Giussani

Web developer: Gunar Miklis.

TIMELINE

2 weeks - April 2023

THE CHALLENGE

Did you know that around 27% of adults globally are affected by sleep disorders, having distress and impairments in their daily lives?

However, a new problem is emerging in the field of sleep disturbances.

Orthosomnia a relatively new sleep disorder, is characterized by an excessive preoccupation with achieving perfect sleep as measured by sleep trackers or wearable devices.

How might we personalize a solution to support people with sleep difficulties?

SleepMinder - An IOS Sleep App that prioritize improve sleep hygiene adopting healthy daily habits providing personalized recommendations based on individual needs.

As part of our project brief, we had to design a dashboard that allows users to easily input data and track parameters.
With SleepMinder users can track their sleep without feeling anxious and focus on improving their overall sleep quality and well-being.

THE SOLUTION

DESING SOLUTIONS

Daily Cycle

Gentle reminders with Circular Timeline indicator divided into different segments to represent activities or behaviors.

Mood Tracker

By incorporating the mood rating feature and dashboard, users assess their sleep quality effectively. It encourages self-reflection.

Profile Setting

To offer customized daily recommendations.

Sleep Helpers

Users can easily navigate through the Sleep Helpers and choose the method that suits their needs.

We became intrigued by the topic and decided to design a solution after our colleagues from the Data Analytics course highlighted the problem.

Study was conducted in the UK by a research team from The University of Oxfordshire data has been compiled by Angélica Blanco and Juan Andrés Giussani.

RESEARCH

500 people age 5-65 were surveyed. Their activities and what and how much they consumed (caffeine and alcohol) were documented for 24 hours during one day.
At night, the study participants were connected to devices that tested their sleep quality.

COMPETITOR ANALISYS

Most competitors primarily focus on sleep tracking, offering features to monitor sleep patterns, duration, and quality.

We conducted an interview with a doctor to understand the specific demands and requirements they have in relation to sleep apps and 4 qualitative interviews with tranking app users to understand their troughts and pain points.

QUALITATIVE INTERVIEWS

The pain points expressed during the user interviews were around notifications, laziness in taking action, disinterest in tracking activities, difficulty in sticking to routines, reliance on mental health apps mainly during periods of depression

The pain points expressed during the user interviews were around notifications, laziness in taking action, disinterest in tracking activities, difficulty in sticking to routines, reliance on mental health apps mainly during periods of depression or low mood, and the challenge of managing multiple apps effectively.

PERSONA & USER JOURNEY

IDEATION

  • Motivational Reminders

    Implement motivational reminders and encouragement to nudge users towards taking action on their tracked activities. These positive reinforcements can help combat laziness and keep users engaged in their routines.

  • Simplified Tracking

    Create a user-friendly and intuitive interface for activity tracking. The app should be easy to use and require minimal effort, making it more likely for users to stick to their routines without feeling burdened.

  • Personalized Recommendations

    Utilize data analytics to offer personalized recommendations and insights based on users' behavior and tracked data. Tailoring the app's suggestions to individual users can enhance its effectiveness.

  • Progress Visualization

    Provide visualizations of users' progress and achievements over time. Seeing tangible improvements can boost motivation and encourage users to continue using the app regularly, but try to find a balance to not get users anxious.

LOW-FIDELITY PROTOTYPE

The main functionality is to remind the user of certain habits that will help them get into Deep Sleep. Track how was your last night - not any additional parameters keeping it simple.

To prioritize product features, we use the MoSCoW analytics tool at the beginning of the product’s design phase.

Following multiple ugly prototypes and testing rounds, we focus on the Home Screen and Dashboard.

The use of darker colors helps reduce the intensity of bright light emitted by the screen, which can disrupt the production of melatonin, a hormone essential for promoting healthy sleep. Our brand attributes are relaxing, reliable, sleepy and clean.

The idea behind lavender's colors is that they serve as both an anxiety reliever and a sedative, fostering relaxation, calmness, and sleep. This concept embodies the essence of the colors.

MOODBOARD & BRAND

SleepMinder app acts as a digital sleep guide, sending personalized alerts to users' devices. These prompts are timed to advise on reducing caffeine/alcohol, last meal, exercise, and screen time.

HI-FI PROTOTYPE

Potential users appreciated the concept of reminding instead of tracking. The UI and the navigation within the app was referred to as clear and intuitive.

CONCEPT & USABILITY TESTS

Conduct more tests and improve charts.

Develop day and night modes that would change automatically.

Introduce a new feature, that would help users connect with community of late night sleepers struggling with similar challenges.

NEXT STEPS