
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 2 chart positions in 2 markets.
By chart position
- 🇦🇺AU · Careers#1845K to 30K
- 🇰🇪KE · Careers#4510K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
7.5K to 30K🎙 Weekly cadence·216 episodes·Last published 1w ago - Monthly Reach
Unique listeners across all episodes (30 days)
15K to 60K🇦🇺50%🇰🇪50% - Active Followers
Loyal subscribers who consistently listen
4.5K to 18K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
All Your Failures Could Be Caused by Maintenance
Jun 13, 2026
Unknown duration
Reliability Engineering and Listening
Jun 10, 2026
Unknown duration
Capacitors and Failures
May 14, 2026
Unknown duration
Reliability Management and Leadership
Apr 14, 2026
Unknown duration
Using AI to Detect and Assess Imminent Failure
Mar 12, 2026
Unknown duration
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/13/26 | ![]() All Your Failures Could Be Caused by Maintenance | From a statistical perspective, this is a clear ‘fingerprint’ of failures that are entirely dependent on maintenance. | — | ||||||
| 6/10/26 | ![]() Reliability Engineering and Listening | Let’s examine the different ways one can listen, when it’s useful, and how to become a much better listener. | — | ||||||
| 5/14/26 | ![]() Capacitors and Failures | In this podcast let’s explore common types of capacitors, MLCC and Electrolytic, their basic construction, and how they may fail. | — | ||||||
| 4/14/26 | ![]() Reliability Management and Leadership✨ | reliability managementleadership+1 | — | — | — | reliabilitymanagement+1 | — | — | |
| 3/12/26 | ![]() Using AI to Detect and Assess Imminent Failure✨ | AIdecision tree modelling+1 | — | decision tree modelling softwareautomobile diagnostic tools | — | failure detectionautomotive technology+1 | — | — | |
| 2/27/26 | ![]() How to Model Switching Systems Perfectly✨ | Monte Carlo SimulationExcel+3 | — | Excel | — | — | — | — | |
| 2/14/26 | ![]() Fundamentals of Supplier Reliability✨ | supplier reliabilitybusiness management+1 | — | — | — | suppliersreliability expectations+1 | — | — | |
| 1/29/26 | ![]() 10 Reasons to do FMEAS with AI✨ | FMEAsFMECAs+2 | — | AI toolsFMEA software | — | reliabilitywebinar+1 | — | — | |
| 1/14/26 | ![]() Fundamentals of Product Warranty✨ | warrantiesproduct management+1 | — | — | — | warranty termsproduct warranty+1 | — | — | |
| 12/11/25 | ![]() Fundamentals of Reliability Maturity✨ | reliabilityculture+2 | — | — | — | reliability maturityteam dynamics+1 | — | — | |
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 11/13/25 | ![]() Fundamentals of Failure Analysis✨ | failure analysisproblem solving+1 | — | — | — | failureanalysis+2 | — | — | |
| 10/28/25 | ![]() Parts Count Reliability Prediction✨ | reliability predictionparts count+1 | — | — | — | reliabilityprediction+1 | — | — | |
| 10/15/25 | ![]() Fundamentals of Regression Analysis✨ | regression analysisdata limitations+2 | — | — | — | data analysisstatistics+1 | — | — | |
| 9/22/25 | ![]() Software Root Cause Analysis (with Fault Trees) | Bugs are so common that we know how most of them happen. So we can work out what went wrong to allow that bug to happen. | — | ||||||
| 9/11/25 | ![]() Fundamentals of Life Estimation | Let’s explore the range of options available to estimate the life of an item, plus the pros and cons of each method. | — | ||||||
| 8/13/25 | ![]() Fundamentals of Environmental Testing | Let’s explore when and how to identify which types of environmental testing should be done so that they add value. | — | ||||||
| 7/22/25 | ![]() What is Reliability? | So if you want to find out what reliability actually is (no equations) … this webinar is for you! - it's not MTBF, BTW | — | ||||||
| 7/9/25 | ![]() Fundamentals of Success Testing | Let’s examine the success testing approach, the assumptions, benefits and faults. Plus, what other options you may have available | — | ||||||
| 6/25/25 | ![]() What is Accelerated Life Testing (ALT)? | perhaps you want to estimate the reliability of something that is supposed to last a long time, but don’t have a lot of time to test. | — | ||||||
| 6/10/25 | ![]() Engineering Framework to Assess Equipment Reliability | Explore the framework to assess equipment reliability for air fin coolers and ensure operational excellence in process plants. | — | ||||||
| 5/28/25 | ![]() The MTBF Sucks Here’s Why | Ever heard of the MTBF? A lot of people have. But not many people (truly) understand what it is. | — | ||||||
| 5/13/25 | ![]() Fundamentals of Derating | Let’s explore why derating is important, the difference it can make, and a few methods to implement derating with your design team. | — | ||||||
| 4/25/25 | ![]() What is Weibull Probability Plotting? | Weibull probability plotting is perhaps the most widespread data analysis tool used in reliability and quality engineering. | — | ||||||
| 4/8/25 | ![]() Linking Customer Needs to Product Requirements and Robust Design | Product requirements that have the most impact on customer needs should be considered in your design failure modes and effects analysis (DFMEA) | — | ||||||
| 3/25/25 | ![]() What are ‘Cut Sets’? | Reliability engineers are often taught about ‘cut sets.’ But we rarely use them. Many reliability engineers don’t know what they are. | — | ||||||
Showing 25 of 220
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Chart Positions
2 placements across 2 markets.
Chart Positions
2 placements across 2 markets.
























