Proactive
Active learning when new information changes the move
Active learning is understanding implications of new information for problem solving and decision making. GIS scores updated choices after intel beats, not course completion or training quotes.
Active learning shows up when the rep changes the next step because of something they just heard.
What it is
Active learning is updating behaviour because new facts changed the problem. In GIS, it means naming a mistake and changing behaviour on the next beat, applying coach feedback in the next scene, and adjusting plan after manager or peer input.
Why it matters in enablement
Static playbooks fail when buyers or peers reveal new facts mid-scene. Learning agility must be observable in fiction before reps repeat the same mistake in live discovery or retro.
How we measure
Rubrics on intel-tagged beats reward behaviour change tied to new information visible in scene. Rematch uplift on the same beat type is a primary evidence signal for managers.
Observable signals
Well matched
- Names mistake and changed behavior next beat
- Applies coach feedback in next scene
Mismatch risk
- Repeating the same mistake next episode
- Feedback ignored in debrief
Episode map
| Team IQ episodes | Focus skill path · Coach brief |
|---|---|
| Deal IQ scenes | Rematch uplift |
Manager coaching
Coach Active Learning on scene type, not personality. Well matched looks like: Names mistake and changed behavior next beat Mismatch risk looks like: Repeating the same mistake next episode Assign it as a focus skill, rematch the same scene type in Team IQ or Deal IQ, and compare debrief fit before the next live call or pod forum.
Deal craft scene
Deal IQ discovery intel beats score updated qualification path after buyer reveals new committee fact. Rematch scenes show whether debrief feedback changed the next play.
Team craft scene
Team IQ 1:1 and forum beats score adjusted plan after manager or peer input. Focus skill path steps reward applying coach brief feedback in the next assigned episode.
Practice in simulation
Use Active Learning focus on intel pivot beats in Deal IQ and feedback reception in Team IQ. Managers read rematch uplift on session fit charts, not LMS progress.
Wrong-tool moments
When situational fit drops, rubrics flag mismatch risk. These are common beats where this skill is the wrong tool for the scene.
- Acknowledging intel without changing next choice
- Training quote instead of in-scene behaviour update
- Learning talk in retro without different action commit
- Ignoring peer correction on observe beat
- Repeating prior plan after buyer changed constraint
FAQ
- Is this course completion?
- No. We score in-fiction learning moves on tagged beats, not LMS progress.
- How does it relate to flexibility?
- Active learning emphasizes updating understanding. Flexibility emphasizes adapting plan. Beats may tag both when intel requires both.
- Can managers export learning fit?
- Yes on session fit charts for active learning tagged beats and rematch comparisons.