Predicting People is a podcast, all about the applications of behavioural science in the commercial world. In each episode, we invite experts to talk about how behavioural science has been affecting their business, and how they see it being used in the future.
Predicting People
Claim This Podcastby Dectech
5.0(7 reviews)
14 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇬🇧
12
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality10
Social0
YouTube0
Engagement32
Podcast Overview
Predicting People is a podcast, all about the applications of behavioural science in the commercial world. In each episode, we invite experts to talk about how behavioural science has been affecting their business, and how they see it being used in the future.
Language
🇺🇲
Publishing Since
3/22/2021
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
12
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality10
Social0
YouTube0
Engagement32
5
Excellent Areas
1
Good Performance
13
Growth Opportunities
excellent
Episode Length
17 minutes
Performing excellently!
good
Show Experience
12 episodes over 4.3 years
Recommendations available
Unlock the full report to see detailed tips
poor
Publishing Consistency
Every 131 days
Recommendations available
Unlock the full report to see detailed tips
+16 More Metrics
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
What's Included in Your Full Report
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
Get your free podcast insights report
See how your show performs across every key metric
Instant delivery
No spam
Attract Better Guests
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Secure Sponsorships
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Grow Your Audience
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
2 verified contact emails on file for Predicting People
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
March 31, 2026
Ep. 14: AI in Market Research - Is it a fraud, a participant or an interviewer? Dectech Discusses
<p>In our fourteenth episode, Dectech's founders, Dr. Henry Stott and Professor Nick Chater, tackle one pressing question: is AI about to disrupt traditional market research? They discuss three possible ways AI could be influencing the industry, including the rise of AI bots affecting survey responses, the increasing use of large language models as synthetic research participants or “digital twins,” and the emergence of AI-powered interviewers that might, in time, reduce reliance on human qualitative researchers.</p><p>Drawing on academic literature, real-world case studies, and over two decades of hands-on experience at Dectech, Henry and Nick weigh the promise and the pitfalls of each development. They consider the commercial pressures encouraging rapid adoption of AI, and speculate on what the next wave of AI could mean for how businesses understand their customers.</p>
November 28, 2025
Ep. 13: Product Suitability - What makes a product right? Dectech Discusses
<p>Welcome to Dectech’s podcast, Predicting People! In this thirteenth episode, Dectech’s founders, Dr. Henry Stott and Professor Nick Chater, dive into the critical question of product suitability - or as they prefer to put it, how to delight customers by offering the right products. In particular, they explore the many ways product ranges can go wrong, from dominated andmissing options to the asymmetry of information between sellers and buyers. They also discuss how human psychology, including the instability of our own preferences, makes choosing the "right" product far more difficult than it appears.</p><p>Drawing on cognitive science literature and years of practicalexperience, Henry and Nick uncover why aligning products with customer needs is commercially essential. They outline how thoughtful product design and clearer communication can help steer people towards choices they will actually be satisfied with, even in a world where none of us quite knows what we want.</p><p></p>
July 8, 2025
Ep. 12: Data Science - What are its potential perils? Dectech Discusses
Dr. Henry Stott and Professor Nick Chater examine the nuanced challenges and overlooked pitfalls of data science, emphasizing rigorous techniques to avoid flawed decisions and improve the validity of outcomes in this interview.
14 total episodes available
Deep-dive analytics for Predicting People
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Predicting People?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Information about guest appearances is not available.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.