
Hosted by Workday Podcast Network
Listed under Business
Workday is the AI platform for managing people, money, and agents. The Workday platform is built with AI at the core to help customers elevate people, supercharge work, and move their business forever forward.
100 episodes · publishes weekly · latest 2025-06-25 · ~24 min/episode
Rank
#927
Substance
62.5
/ 100
Breakdown
Scored 2026-08
Updated monthly
Across the index
#927 of 1499
Substance
Top 62%
outscores 38% of the index
Workday Podcasts ranks #927 on The B2B Podcast Index with a substance score of 62.5 out of 100, scored across 2 recent episodes. It scores highest on guest caliber and specificity & evidence. Gary Christiansen is a relevant practitioner - Associate VP of Enterprise Solutions with hands-on implementation experience at a medium-sized institution - but lacks the seniority or scale of outcomes that would elevate this to top-tier guest status. He speaks knowledgeably about his own institution's adoption journey but doesn't bring multi-institution comparative perspective or C-suite strategic authority. His role is solid middle management, not the kind of operator running transformation at enterprise scale.
Averaged across 2 recently scored episodes, with cited evidence.
The episode contains useful operational details about Workday implementation at a university (registration dashboards, degree audits, at-risk student identification) but relies heavily on product feature explanations rather than novel insights. Much of the substance is standard higher ed IT transformation content - moving from paper to digital, improving data access - without deeper analytical frameworks or surprising discoveries about what actually drives student success.
“we've been able to do more proactive things to do outreach to students that we see are at risk because they aren't planning for their registration”
“we have data points coming out of our ears”
The episode recycles familiar higher ed digital transformation narratives: legacy systems to cloud, paper to digital, dashboards improving visibility. The insights offered (at-risk student detection via registration planning, mobile-first access, real-time reporting) are standard applications of modern enterprise software, not contrarian or first-principles thinking. The anecdote about the floor collapsing from paper weight is memorable but doesn't carry analytical weight.
“moving from very paper driven and old mainframe systems to modern electronic business process framework”
“we've been able to start gathering a lot of data points and starting to build those into our models”
Gary Christiansen is a relevant practitioner - Associate VP of Enterprise Solutions with hands-on implementation experience at a medium-sized institution - but lacks the seniority or scale of outcomes that would elevate this to top-tier guest status. He speaks knowledgeably about his own institution's adoption journey but doesn't bring multi-institution comparative perspective or C-suite strategic authority. His role is solid middle management, not the kind of operator running transformation at enterprise scale.
“I am associate Vice President of Enterprise Solutions within our information Technology and security team”
“In a former life, I was a data guy”
The episode includes some concrete details (11,500 students, April 2020 go-live during COVID, four years of data collection, four upcoming features prioritized) and real operational examples (registration dashboard email surge, degree audit accuracy, at-risk student outreach). However, most impact claims lack quantification: no retention lift percentages, no cost savings figures, no actual enrollment outcome metrics tied to the initiatives. Student feedback is referenced generically ('positive feedback') without hard numbers.
“we have about 11,500 students total”
“we've been live on student for about the past four years”
The host asks reasonable setup questions and demonstrates some familiarity with higher ed, but fails to push back, challenge vague claims, or drive toward hard outcomes. When Gary makes broad assertions like 'it's really made an impact on our retention, registration, career placement,' the host accepts these without requesting metrics or evidence. The conversation is friendly and structured but lacks the skeptical follow-ups that would expose gaps in thinking or move beyond feature-benefit storytelling.
“So where have you seen the most effectiveness here? Um, and with student success?”
“you mentioned something about at risk students, and that's something that's kind of, um, for me, kind of near and dear”
2 periods tracked.
2 scored on substance · 60 tracked in total.
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