AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Hi there and a very warm welcome to Season 5 Episode 8 of People Soup – it’s Ross McIntosh here.
IN our last episode I introduced you to Dr Hayley Lewis - Hayley is the founder of Halo Psychology - and as an occupational psychologist she provides expert and evidence based support for individuals, teams and organisations going through transition.
This episode is a right treat - as we get to hear first hand about Hayley's doctoral research and not just the outcomes but the whole darned process. Hayley approached her research with her characteristic drive, curiosity, authenticity, diligence, humour and much more. If you've ever wondered about the qualitative research process, thematic analysis and what exactly is a systematic literature review - then this is the episode for you.
You'll also hear about Hayley's research findings - they're not only informative but fascinating - she's the first to look at values in relation to female business ownership and explore the lived experience of female entrepreneurs. And there's a free business planning template takeaway too.
People Soup is an award winning podcast where we share evidence based behavioural science, in a way that’s practical, accessible and fun. We're all about sharing the ingredients for a better work life from behavioural science and beyond.
There is a transcript for each episode. There is a caveat - this transcript is largely generated by Artificial Intelligence, I have corrected many errors but I won't have captured them all! You can also find the shownotes by clicking on notes then keep scrolling for all the useful links.
Read about our Chisi Awards from #365daysofcompassion for Best Podcast
Leave a review as a WhatsApp voicenote on +0034696636487
Ross' new website
Our Podcast Website on CAPTIVATE
Ross on Twitter
People Soup on Instagram which also features plenty of Ross' photos of the Andalusian life
People Soup Page on Facebook
And you can connect with Ross on LinkedIn