Capture what a departing department head knows about curriculum, staff, and programs — the context a new head needs to lead effectively from day one.
What is the current state of your department — strengths, gaps, and what's in progress?
A candid picture of where things stand, not an official summary.
What do you know about each member of your team that the next department head needs to understand?
Strengths, development areas, sensitivities, dynamics — what shapes how to lead and support each person.
What curriculum decisions were made in your tenure — and why?
Choices about scope, sequencing, materials, or approaches that the next head should understand the reasoning behind.
What external relationships does this department depend on?
University partnerships, vendor contacts, community organizations, or accreditation contacts — and what each relationship involves.
What are the biggest unresolved challenges your successor will inherit?
Problems that have been deferred, tensions that exist, or initiatives that are stalled.
What should the new department head do in their first 90 days to build credibility and momentum?
Quick wins, relationships to build, decisions to avoid until they have more context.
What do you wish you had known when you stepped into this role?
The context, relationships, or institutional knowledge that would have helped you lead more effectively sooner.
After each completed session, Mayetik generates a structured AI summary. Here's an example of the output format — the actual content reflects each respondent's answers.
The respondent's answers highlighted three recurring themes — each supported by specific examples drawn from their experience. The summary captures what was said, not what was expected.
Two responses stood out as unusually detailed and pointed to an area worth following up on. The full text of each answer is preserved below the summary.
Based on the patterns in this session, the AI identified three concrete actions for the project team to consider. These are drawn directly from the respondent's own suggestions.
Generated from 7 questions · ~4 min session