Ayyeka Field Asset Intelligence

Ayyeka Field Asset Intelligence

Ayyeka Field Asset Intelligence

Ayyeka Field Asset Intelligence is a data quality control dashboard that is used to monitor data stream issues for IoT devices in real-time, providing analytics and resolving issues using artificially intelligent algorithms.

Ayyeka Field Asset Intelligence is a data quality control dashboard that is used to monitor data stream issues for IoT devices in real-time, providing analytics and resolving issues using artificially intelligent algorithms.

Ayyeka Field Asset Intelligence is a data quality control dashboard that is used to monitor data stream issues for IoT devices in real-time, providing analytics and resolving issues using artificially intelligent algorithms.

Client

Client

Ayyeka

Ayyeka

Ayyeka

Methods

Methods

Competitor Research
Contextual Inquiry

Wireframing

Prototyping

Design Reviews

My Roles

My Roles

UX/UI Designer

User Researcher

UX/UI Designer

User Researcher

UX/UI Designer

User Researcher

Time Frame

Time Frame

5 months

5 months

5 months

Challenge

Challenge

Challenge

Ayyeka, an Israeli IoT (Internet of Things) company, developed and marketed the Ayyeka Wavelet, a proprietary device widely integrated into various global business infrastructures. The primary challenge revolved around the inability of these businesses to achieve real-time data stream visualization and monitoring from the Wavelet. Furthermore, there was a lack of real-time detection and alerting mechanisms to address issues that might arise with these devices.

Requirements

Requirements

Requirements

We were tasked with the design and development of a dashboard and here were some of Ayyeka's requirements:


  • Create a dashboard that provides monitoring and analytics on the data streams generated by the IoT devices.

  • Detection of data quality issues in real-time.

  • Detection of the following types of issues: Stale data, Missing data, Frequency changes, Erratic readings, Spikes, Short/Long term drifts

  • Provision for flagging data to be analyzed by a Data Analyst.

  • Visualize all the metrics with respect to a particular time range: yesterday, last week, last month, etc.

  • Provide a breakdown of all the issues in the form of a gauge or a pie chart.

Roles

Roles

Roles

As the sole designer of the project, here are some of my roles and responsibilities:

  • Gathered stakeholder requirements and project scope to design a one-of-a-kind quality control dashboard for IoT data streams for sites worldwide.

  • Conducted exploratory market research for product conceptualization and inspiration.

  • Participated in brainstorming sessions with various stakeholders to define the product features.

  • Designed low-fidelity wireframes in preparation for design reviews.

  • Built high-fidelity mockups for client presentations.

  • Performed several design reviews with Ayyeka’s CTO and the Head of the Engineering team.

  • Created a style guide along with a set of components to be used in the product.

  • Worked with the development team in providing a smooth handoff of deliverables.

  • Coordinated with the client’s marketing team and worked together on brand strategy and design.

Process

Process

Process

  • Initially, there was a requirements gathering phase which was done through stakeholder interviews.

  • Soon after that, I performed desk research to look at any existing competitors for a means of comparison, and since there weren’t any, we began building the user stories.

  • User Personas were provided by the client in order to help build the lo-fi wireframes.

  • I continued this process to build out all the screens of the dashboard in low fidelity.

  • After several rounds of design reviews, all these low-fidelity wireframes were converted into high-fidelity mockups.

  • I built a style guide and several components that were to be used throughout the project.

  • Simultaneously, I was also tasked with working alongside Ayyeka’s marketing team to provide some mockups to be used as marketing material.

Mockups

Mockups

Mockups

Takeaways

Takeaways

Takeaways

  • Brand colors should be used mainly used in CTAs and important components that are higher up in a product's information hierarchy.

  • The end users opinions matter a lot, they should be consulted throughout the entire design process.

Ready to Elevate Your Project?

Let's bring your design vision to life.

© Christopher Dsouza 2023

Ready to Elevate Your Project?

Let's bring your design vision to life.

© Christopher Dsouza 2023