George Ferguson

Comment on Sandra Goddard's post: 

Your reflection captures the practical wisdom of the module with real precision. The connection you drew between job description development and interview question formulation is one many hiring teams overlook. When job descriptions are clear and grounded in KSAOs, the interview questions practically write themselves — making the entire process more focused and efficient.

Your post-it notes insight is one I'm taking back into my own thinking. The module specifically recommended this practice for confidentiality and flexibility, and your inclusion of it shows attention to small details that protect both candidates and institutions. Notes… >>>

The Faculty Selection module shifted my thinking from interviewing as a conversation to interviewing as a discipline. Structured interviews, when designed and conducted well, transform hiring from impression-based decisions to evidence-based ones. The insight that resonated most was the 75/25 talking ratio — interviewers should let applicants do most of the talking, since the goal is to gather information rather than perform or persuade.

The application form material was equally instructive. Knowing which questions to avoid (maiden name, ethnicity, gender, age, religion, disabilities, arrests, credit) protects institutions from legal exposure while ensuring fair treatment of all applicants. Reframing problematic questions… >>>

Comment on William Dindy's post: 

Your reflection captures something the module emphasized strongly — that recruitment is fundamentally relational, not transactional. Every applicant interaction shapes institutional reputation in ways that extend far beyond the immediate hiring decision.

Your point about word-of-mouth power resonated deeply. Applicants who experience respect during the process tell their networks, while those who feel dismissed or disrespected do the same. In a world where candidate reviews appear on platforms like Glassdoor and Indeed, institutional treatment of applicants becomes part of the public record.

The prospective student referral insight you raised is particularly thoughtful. An applicant… >>>

The Faculty Recruitment module reframed recruitment as both art and science — requiring strategic thinking about sources, candidate experience, and institutional reputation. The insight that resonated most was the recognition that recruiting is also marketing. How institutions treat applicants shapes their reputation in ways that extend far beyond any single hire.

The AIDA framework for job advertisements was particularly useful. Capturing attention in the critical first fourteen seconds, building interest and desire through transparency about compensation and culture, and closing with an enthusiastic call to action all reflect intentional communication discipline. The reminder to avoid wish-list qualifications presented as strict… >>>

Comment on Sandra Goddard's post: 

Your reflection captures the full hiring workflow with real precision — moving from KSAOs through deal-breakers and preferences, to job description, to interview questions. This sequencing matters because each step builds on the foundation of the previous one. Skipping the job analysis step is what produces the vague hiring criteria many institutions struggle with.

Your phrase about deal-breakers and preferences stood out to me. The module emphasized that personal preferences shouldn't become absolute deal-breakers, but distinguishing between the two is exactly what produces fair, focused hiring decisions. Without this clarity, hiring teams can disqualify… >>>

The Job Analysis module reframed faculty hiring as a discipline that begins long before posting a position. The KSAOs framework — Knowledge, Skills, Abilities, and Other characteristics — provides a structured way to define what an ideal instructor actually looks like, rather than relying on credentials alone or vague hiring instincts.

The distinction between knowledge and skills was particularly clarifying. A candidate may know a great deal about a subject from books and study, but knowing about something is different from being able to actually do it. Effective hiring requires evaluating both dimensions, especially in career-focused educational contexts where instructors… >>>

Comment on Milen Filipov's post: 

Your reflection captures the regulatory complexity with real precision. The interaction between state licensing boards, accrediting agencies, and federal departments creates a layered approval landscape that institutions cannot navigate without disciplined understanding. Your point about each agency having "established procedures, costs, and timeframes" reflects a reality many institutions underestimate until they're deep into the application process.

Your emphasis on the "substantive change" determination stood out to me. The percentage thresholds (often 20% or 25%) that distinguish minor program adjustments from substantive changes requiring full approval represent decision points that shape implementation timelines significantly. Misjudging… >>>

The Implementing Program Changes module reinforced that even thorough research and clear regulatory understanding are not enough — disciplined implementation planning makes the difference between programs that launch successfully and programs that stall in execution.

The four-element framework was particularly clarifying. Tasks must be comprehensively identified and clearly assigned ownership. Timelines must reflect real sequencing, recognizing that some tasks block others (regulatory submissions often have a required order). Deadlines, especially those set by regulatory agencies, must be honored as hard constraints rather than aspirational targets. Costs and budgets must be attached to every element so funds are available when needed.… >>>

Comment on Aimee Russell's post: 

Your reflection captures something the module emphasized strongly — that data interpretation is just as important as data collection. Many institutions invest in research and then ignore findings that don't match their original plans. Your phrase about not "casting it aside" honors the discipline of letting data actually shape decisions.

The three outcomes you identified mirror the massage therapy school example beautifully. Sometimes data redirects toward better options than the original plan, sometimes it points to enhancing existing programs, and sometimes continuing education emerges as the wisest path forward. Each represents legitimate strategic responses… >>>

Got it, brother. Short discussion post. 💛

 
📝 SHORT DISCUSSION POST (Ready to Copy and Paste):
 
The Learn from the Data module shifted my thinking from gathering information to interpreting it well. The insight that resonated most was that research often points to outcomes different from what was originally planned — sometimes confirming the new program idea, sometimes redirecting toward enhancing existing programs, and sometimes pointing to continuing education opportunities that hadn't been considered.

The massage therapy school example was particularly instructive. Their research led to four different decisions simultaneously: expanding an existing program, adding the originally planned… >>>