Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.
01
Evaluation factor
Subject and technical command
30% weight
Check command of gamification frameworks (Octalysis, self-determination theory, Bartle types) plus authoring tools: Articulate Storyline, Genially, Twine, SCORM or xAPI packaging into Moodle or Canvas.
Evidence to listen for
Knows the material or discipline well beyond the level they teach
Holds the qualifications, licences, or certifications required, and they are current
Can answer an unexpected question honestly rather than bluffing
Keeps learning in their own field
Five-point scoring guide
1
Poor
Knowledge barely ahead of the learners; bluffs when asked something unexpected.
2
Needs Improvement
Adequate on the syllabus only; gaps show under questioning.
3
Satisfactory
Solid command of the material for the level taught.
4
Very Good
Depth well beyond the taught level; comfortable being asked anything.
5
Excellent
Names specific mechanics tied to motivation theory and shows working SCORM or xAPI builds published into a live LMS.
02
Evaluation factor
How they actually teach
30% weight
Probe how they design a gamified unit end to end: ADDIE or SAM cycle, points and badge economy, difficulty curves, narrative framing, and playtesting with real learners.
Evidence to listen for
Describes how they teach a specific thing, not their philosophy of teaching
Adapts when the first explanation does not land
Checks understanding rather than assuming it
Differentiates for varying ability within one group
Five-point scoring guide
1
Poor
Only philosophy, no method; one explanation and no plan B.
2
Needs Improvement
Delivers content but cannot adapt when learners are lost.
3
Satisfactory
Sound instruction; differentiation is limited.
4
Very Good
Multiple routes to the same concept, with real checks for understanding.
5
Excellent
Walks through a course they built, explaining why each mechanic existed and what playtesting changed before launch.
03
Evaluation factor
Group management and safeguarding
25% weight
Assess handling of leaderboards that demotivate, competitive dynamics in mixed-ability cohorts, accessibility (WCAG), and safeguarding rules for chat, avatars, and under-18 learner data.
Evidence to listen for
Has a concrete approach to a disruptive individual and a whole group losing focus
Knows the safeguarding or duty-of-care obligations for this age group and setting
Escalates a concern through the right channel
Sets boundaries without becoming punitive
Five-point scoring guide
1
Poor
No behaviour strategy; unaware of safeguarding obligations.
2
Needs Improvement
Struggles with disruption; vague on duty of care.
3
Satisfactory
Manages a normal group; less confident with serious disruption.
4
Very Good
Confident group management with clear safeguarding awareness.
5
Excellent
Cites cases where they removed or reworked competitive mechanics, and knows the data and safeguarding limits on learner-facing platforms.
04
Evaluation factor
Progress and communication
15% weight
Look for use of completion rates, dwell time, quiz mastery, and xAPI statement data to prove learning gains, plus how they report results to L&D leads or teachers.
Evidence to listen for
Measures whether learners actually improved, not just attended
Gives feedback that changes what someone does next
Communicates with parents, clients, or managers about difficult progress honestly
Records progress usefully
Five-point scoring guide
1
Poor
No sense of whether anyone improved.
2
Needs Improvement
Tracks attendance rather than progress; avoids hard conversations.
3
Satisfactory
Monitors progress; feedback is general.
4
Very Good
Measures progress concretely and handles difficult conversations well.
5
Excellent
Quotes before and after metrics from a specific rollout and explains what the analytics prompted them to redesign.
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