Evergreen Learning
SMB · Education Technology · £22,000 ARR · Owner Priya Nair
- Lifecycle stage
- Adoption
- Renewal
- 16 Dec 2026 (95 days)
- Last contact
- 6 days ago
- Last refresh
- 2 days ago
- Previous score
- 74/100
- Assessment confidence
- High
Customer context
- Customer goal
- Improve learner completion rates across three cohort programmes.
- Original purchase reason
- Cohort drop-off was hurting renewals with their own customers.
- Primary use case
- Cohort progress tracking and learner nudges.
- First-value milestone
- First cohort dashboard shared with programme leads — week 2.
- Current success milestone
- Automated learner nudges live for all cohorts (not started).
- Executive sponsor
- Ola Adeyemi, Managing Director
- Day-to-day champion
- Bethan Powell, Programme Lead
- Stakeholders
- Two programme coordinators
- Contract start
- 16 Nov 2025
- Renewal date
- 16 Dec 2026
- Expansion potential
- Small. A fourth programme may be added next academic year.
- Main blocker
- Excellent relationship, but value is capped by shallow feature adoption ahead of renewal.
What changed?
- Business outcomes 70 → 72 (+2)
- Customer engagement 86 → 88 (+2)
- Customer sentiment 84 → 86 (+2)
- Slow, steady improvement driven by relationship strength rather than product depth.
Why this matters
Excellent relationship, but value is capped by shallow feature adoption ahead of renewal.
£22,000 ARR renews in 95 days. Recommended next action: Run an advanced-feature enablement session focused on automated learner nudges.
Five signals
Product adoption
0 pts62/100
Previous 62 · Weight 30% · Contribution 18.6 pts
- • Core dashboard used weekly by all three programme leads
- • Only 2 of 5 key features in use; automation and API untouched
Business outcomes
+2 pts72/100
Previous 70 · Weight 25% · Contribution 18.0 pts
- • Cohort completion up 6 points against baseline
- • One of two agreed milestones achieved
Customer engagement
+2 pts88/100
Previous 86 · Weight 20% · Contribution 17.6 pts
- • Champion highly responsive
- • Managing director joins every quarterly review
Support experience
0 pts82/100
Previous 82 · Weight 15% · Contribution 12.3 pts
- • No open tickets in the last quarter
Customer sentiment
+2 pts86/100
Previous 84 · Weight 10% · Contribution 8.6 pts
- • Consistently positive meeting sentiment
- • Agreed to a written case study
Six-month health history
Slow, steady improvement driven by relationship strength rather than product depth.
AI risk analysis
Deterministic, context-aware analysis generated locally from this account's signals — no external API. The service layer is isolated so a real model can be connected later.
Recommended actions
Next 7 days
- • Pull a user-level activity export and identify the top three inactive teams.
Next 30 days
- • Run targeted enablement for the unused features tied to their primary use case, then re-measure weekly active users.
Activity timeline
No recorded activity yet. Log a touchpoint, draft a re-engagement message or add a task and it will appear here.