Maximising industrial efficiency

SWYFT functions as a service resource management tool for the industries to digitalise service processes, giving customers and service providers service data transparency.

Client

Siemens Singapore

Industrial MNC

Timeframe

~8 months

Platform

Web & Mobile App • B2B SaaS

Context

While time tracking is vitally important for any field service providers, the manual time tracking and approval processes hinders frontline workers’ productivity as significant amount of time is wasted on low-value administrative tasks over and over again.

The features I design for always aligned with the mission of simplifying time tracking activities for frontline workers, reducing errors while improving accountability, efficiency and transparency.

While time tracking is vitally important for any field service providers, the manual time tracking and approval processes hinders frontline workers’ productivity as significant amount of time is wasted on low-value administrative tasks over and over again.

The features I design for always aligned with the mission of simplifying time tracking activities for frontline workers, reducing errors while improving accountability, efficiency and transparency.

While time tracking is vitally important for any field service providers, the manual time tracking and approval processes hinders frontline workers’ productivity as significant amount of time is wasted on low-value administrative tasks over and over again.

The features I design for always aligned with the mission of simplifying time tracking activities for frontline workers, reducing errors while improving accountability, efficiency and transparency.

Problem

Confusion on filling in time and work data is the recurring issue that was commonly raised by frontline workers and there’s clear indication that they need a way to ensure data is error-free.

Confusion on filling in time and work data is the recurring issue that was commonly raised by frontline workers and there’s clear indication that they need a way to ensure data is error-free.

Confusion on filling in time and work data is the recurring issue that was commonly raised by frontline workers and there’s clear indication that they need a way to ensure data is error-free.

Solution

The goal of the project was to eliminate confusion and reduce the risk of errors by automating time and work data collection.

Key Metrics and Targets:

  • Volume of edits to data

  • Data entry frequency

  • Data accuracy satisfaction score

The goal of the project was to eliminate confusion and reduce the risk of errors by automating time and work data collection.

Key Metrics and Targets:

  • Volume of edits to data

  • Data entry frequency

  • Data accuracy satisfaction score

The goal of the project was to eliminate confusion and reduce the risk of errors by automating time and work data collection.

Key Metrics and Targets:

  • Volume of edits to data

  • Data entry frequency

  • Data accuracy satisfaction score

My role

As part of the Digital IOT Services team, I was given the opportunity to improve and rollout new features for a legacy enterprise web/app platform that would meet changing customer preferences​.

I was the sole UX designer in this team, partnering with the development team in India. I worked with multiple cross-functional teams that included field service engineers, project manager, and legal.

As part of the Digital IOT Services team, I was given the opportunity to improve and rollout new features for a legacy enterprise web/app platform that would meet changing customer preferences​.

I was the sole UX designer in this team, partnering with the development team in India. I worked with multiple cross-functional teams that included field service engineers, project manager, and legal.

As part of the Digital IOT Services team, I was given the opportunity to improve and rollout new features for a legacy enterprise web/app platform that would meet changing customer preferences​.

I was the sole UX designer in this team, partnering with the development team in India. I worked with multiple cross-functional teams that included field service engineers, project manager, and legal.

What I did

  • UX research and design

  • Plan product roadmap

  • Executive presentations

  • Create design requirements

  • Documenting best practices

  • Fostering relationships with external party

  • UX research and design

  • Plan product roadmap

  • Executive presentations

  • Create design requirements

  • Documenting best practices

  • Fostering relationships with external party

  • UX research and design

  • Plan product roadmap

  • Executive presentations

  • Create design requirements

  • Documenting best practices

  • Fostering relationships with external party

What was I working on?

Much of what we were working on is still not yet live, and Siemens’ policy on sharing internal work is very strict. In other words, some details of my work are left out.

Process

Research insights​

We conducted a comprehensive analysis of the time tracking processes. While there are many user archetypes, our findings showed a common pain point for manually reviewing data: it become tedious quickly.

User Archetypes

Design guidelines

With these findings in mind, we pinned down the high-level design principles to guide us.

  • Controlled flexibility: Give control of logging time on their preferred process

  • Automate repetitive tasks: Provide ways and relevant information that helps eliminate errors

Design concept exploration

I analysed the pros and cons of the concepts around criteria such as discoverability of time logging and implementation effort.

We quickly learned that all participants preferred Concept A due to its simplicity and ability to fill in anytime. Many users held the opinion that time should be rounded either up or down to the nearest 15 minutes.

Reflection

Let the frontline workers use for 6 weeks, analyse the results and continue iterating towards the envisioned solution.