LIVE! Candidate Feedback:

I appreciate the feedback and tools to reflect on my strengths and weaknesses. I found the reflection prompt particularly useful in highlighting what I can do in future situations to be more of a leading voice in conversations that pertain to my knowledge or expertise.

I can improve my self and the insights would really help me in the future

Yes. Makes me know and understand my personality

This feed back about my self helped me get a better perspective of my personality and skills and have me confidence in my attitude and ethic when working with others.

I thought this was a true reflection of my thoughts and answers

Thank you for this feedback. Doing what you think is right may not always be the right way. I always like to have feedback as it can help me grow as a person

All feed back is useful, lots of people take criticism as fault when it is actually given as learning. We never stop learning just some of us dont realise what learning is. Thanks for the feedback.

Thank you, very helpful and learned a few things about myself.

I get to know my weak point's and work on it and also know what I'm good at

I found it useful because I learnt more about myself which allows me to understand how I react to situations etc.

This is a very good and very true about me and my personality I was quite surprised how accurate it is Thank you

This is really helpful especially coming from a third party it helps one stick to the good that’s done and even do more.

Interesting and very helpful in looking at myself in a different perspective

I have learnt alot of things about my self that i did not know. Why reading, i was like "yes this is so me". Therefore its been helpful


From your responses about me, I can confidently say Medibank is more than an employer, they also help you discover who you are and how great and impacting you can become.

I found this extremely useful however ... I do enjoy different ways of thinking and am creative in what I do .... I enjoy seeking new experiences , meeting new people and enjoy social gatherings in different settings and situations.

This is bang on, thank you

This is very useful as it tells me what I need to improve on to better myself.

thanks for the feedback. it gave me some good tips to use going forward.

I found it useful because it will help me to develop as a more productive employee

The interview was informative and straight forward. Am looking forward

Wow I am thrilled, at my weakness and strength reflied to me. To improve and gain more in those and learn more about myself.

Yes, make my achieve better things in life and it's great words to take further in life

Yes, I believe it would help me in my workplace.

pretty spot on with all the insights, very good program

What an excellent way of gaining insight into prospective employees! However, I feel the open face-to-face approach gives a far more realistic overview of a person.

It made me happy to think I have more skills then I thought i did .

I found it useful in that I always tend to speak my mind so it's great to know that is something that's valued in an employee.

Loved this insight! Have me confidence in speaking my mind when necessary! Thank you

I found the dealing with stress section to be very helpful as there were many very good and useful points suggested to deal with situations as such

I found the profile interview quite informative, Helping me recognise my weaker points and build my confidence for future employment Opportunities

Sounds very much like me in a lot of ways. Nothing here I would disagree with, and some I strongly agree with.

This was awesome. Only way I can describe it tbh. I’m a bit amazed, all very accurate.

Was a great experience in doing this online interview and to know my personal feeds from my experience.

This feedback was useful because it shows how my responses have been divided to show off my characteristics and likely approaches to situations.

At 19 years old I found this pretty accurate for my life and work experience. I am pretty easy going and get along with multiple different personalities. I can be confident to carry out tasks independently but don't feel confident if instructions are not clear or the information and training has not been shown. I do like a variety of tasks and find I can accommodate most tricky situations to carry out a task.

Well it sound like me! I can now reflect on how I can alter my behaviour in given sitations

I'm glad I seem to have come across as a confident pleasant person, I would like to think I'm both. I'm eager to learn new skills, take on board requests & comments, both good & bad. I seek ways to achieve the best of myself & pride myself that this is known in my workplace. The tests have shown me that it is important to listen, observe & be as helpful as one can be in the work place. Thank you for your time & attention. Kind Regards Marion Taylor

I found this very helpful and the kind words you have said make me very happy

So do I get the job or not? I am willing to assert my opinion, I don’t understand the point of this? I’m a bit flabbergasted to be honest!

Thanks for my personality results! They were insightful and will better allow me to communicate my strengths in a succinct and valuable way.

It is good to find ways to make life better for myself and others

It is always helpful to receive feedback from a "personality" questionnaire, as we never stop learning.

Easy and fun to do

What inspires us

Podcasts & Audio Bits

Whether on a train, driving or exercising – most of us will be consuming a podcast. These are some of our favourites.

Steven Pinker: AI in the Age of Reason

Steven Pinker: AI in the Age of Reason

Author | Lex Fridman: Steven Pinker

In this episode of Lex Fridman’s podcast, they discuss the topic AI in the Age of Reason. Here Steven Pinker debunks and explores many AI-related questions. Steven Pinker is a professor at Harvard and before that was a professor at MIT. He is also the author of many books.

Here are a few highlights from the conversation:

On AI being an existential threat, either by enslaving us or turning us into paper clips  – ‘totally fanciful’

On the impact of AI on jobs, displacing and replacing human in thousands of jobs – ‘are they jobs worth keeping? ‘ Pinker admonishes the literature which romanticizes these lost (shitty) jobs

On productive ‘fear’ vs ‘paralysing fear’ – Human effort is not well calibrated against risk. Because a basic tenet of cognitive psychology is that perception of risk and fear is driven by imaginability and not by data. This means we allocate trillions of dollars to fighting terrorism which kills a very small number of Americans & Australians a year, yet guaranteed risks, like traffic fatalities (40k pa in the US alone), and pandemics and nuclear war which are plausible enough to worry about receive far too little attention.

On the human tendency to amplify fear instead of good news – ‘Always predict the worst and you will be hailed as a prophet’

On the many fanciful claims about AI destroying our world – It assumes that engineering culture will suddenly become one which only maximises the objective with no care for risks. His 2 examples are compelling:

  • If that was how engineering culture worked then why were cars built with brakes if the goal of a car is to go fast
  • If we program a self-driving car to get to a destination by taking the shortest possible route, it won’t steamroll houses and parks to get there.

That’s not artificial general intelligence that’s artificial stupidity.

Casa de Cambio

Casa de Cambio

Presenter: Natasha Redman

Why we love it

Natasha Redman is joined by a diverse cross-section of subject matter experts from change managers, authors and C-suite exploring the world of change management, tech, innovation, transformation, strategy and corporate life.

What I learnt from it

Not all change is equal, but challengers of change are universal. When embarking on any cultural change or technology implementation, effective change management is critical to ensure not only acceptance of the new world order, but rigorous and enthusiastic adoption!

Why it’s a must

For anyone interested in answering the question “what’s the value of change management?”, it is a great starting point. Natasha explores different aspects and challengers or organisational change, with leading experts providing insight on their success (and failures) through transformation.

Who should pay attention?

Business leaders, HR, Transformation, Change Managers, Recruiters.

Avoiding Loserthink with Scott Adams

Avoiding Loserthink with Scott Adams

Presenters: Scott Adams

Why we love it

Dilbert creator and author Scott Adams shares cognitive tools and tricks we can use to think better, expand our perspective, and avoid slumping into “loserthink.”

Why we recommend it

There is a story of “bias” in how he got into creating Dilbert. He was told by two employers that “we can’t promote you because you are white, because we have been promoting too many of them, so now we have to fix it”. Essentially Dilbert is a result of him leaving his day job because his employers were trying to fix the bias in their promotion process!

Here are a few highlights from the conversation:

  • People who are writing non-fiction believe they’re telling you what is objectively true in the world, but we don’t have that capability. We all have this illusion that the version of the world we’re seeing is the one, and that if anybody’s got a different version, they must be wrong. It’s sort of the most common illusion that we all have.
  • When I say somebody is using loserthink, I don’t mean that they’re a loser. It’s not about the person. It is about the experience which the person has been subjected to. People tend to come at topics with just the filter that they just happen to have because of the life that they led. What I recommend is that you expose yourself at least to the general ideas of how other people think.


Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

Why we love it

This conversation is part of the Artificial Intelligence podcast. It’s a very informative session about AI fairness with Prof Michael Kearns a co-author of the book Ethical Algorithm.

Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more.

Why it’s a must

Buddhi is a regular consumer of Lex Fridmans podcasts – he attracts an extraordinary array of minds and perspectives from Daniel Kaheman, Melanie Mitchell, Paul Krugman, Elon Musk and he asks such thoughtful original questions of people interviewed many times over that every podcast feels illuminating for both sides.

Themes covered

  • Are most people good?
  • Ethical algorithms
  • Algorithmic fairness of groups vs individuals
  • Algorithm that determines what is fair
  • Algorithmic privacy
  • Privacy of data in society
  • Machine learning and game theory



‎HBR IdeaCast: A New Way to Combat Bias at Work

‎HBR IdeaCast: A New Way to Combat Bias at Work

Presented by: Joan Williams

Why we love it

A brilliant captivating podcast on the types of biases that turn up at work and an exploration of bias interrupters. Bias and the D & I space is overflowing with content and so it’s inspiring when you come across a wholly original way of labelling it (Bropreating whypeating, and menteruption).

What’s less effective-single-bias training … referral hiring! This is because it risks ‘reproducing the demography of your current organisation’. What’s way more effective-correcting the bias in your business systems and the most contrarian view on the topic of performance reviews I’ve read for a while … Keep your performance reviews! Removing them creates a ‘petri dish for bias’.


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