Client: PETRA Data Science
Date: 2020-2024
Type:UX, UI, SaaS Product
This feature was for an AI based simulator for how geology can impact certain mining processes.
Optimal operating decisions are learned by the software and show engineers how to achieve their best day every day.
It has over 1000 users onboarded globally and is deployed on some of the worlds biggest mining companies wishing to utilise orebody learning (ai insights and predictions) for uplift and optimisation based on their unique mineral and geology.
Multiple MFA Methods
The Challenge
Not all mining companies have the same level of acceptance for MFA and there are instances where email or phone is not acceptable.
Find a way to allow a user to set up authentication based on their own unique circumstance and or organisational requirements.
Believing there is a solution
Hypothesis
We believed that allowing a user to choose their own authentication method would increase the speed of onboarding, and potentially unblock behavioural challenges. As a user I can choose browser, mobile, or email authentication.
Qualitative Data
Interviews & Testing
To obtain qualitative data I conducted 1 on 1 interviews with about 9 users from 3 separate customer groups. Interviewees were chosen from the 3 key operations areas improvement, engineering, project management.
I introduced the hypothesis and presented the user with different solutions to the problem in the UI.
The data obtained covered users beliefs, reactions, behaviours and motivations for different facets of the experience.
I then understood to a degree that our hypothesis could be implementable for a key group of user persona’s.
Creating & testing
Protoyping
I designed a prototype in Figma with all possible micro interactions, which allowed our developers to then create a proof of concept which we rolled out for live testing with key customers only.
Qualitative Data
Analysis
We conducted before and after user journey mapping.
We measured comparison over time and also established some metrics to understand trends like time spent on each interaction.
We also conducted post-deployment interviews for feedback and validation.
Significant behavioural acceptance
The Results
The implementation of the new MFA set up method reduced onboarding time by 40%, it reduced support tickets by 65%, and it allowed our key customers to successfully integrate their daily operations with our software.
For our biggest customer, a solution outside of mobile and email was cruicial, and being able to unblock this challenge was significant success for both parties. Credibility and flexibility also increased.