Digital Learning Practice
Four offers. Services first. Platform later, if ever
Differentiation is not “we use spaced repetition”. Others already sell that. Digital Learning Practice differentiates on three things:
- Evidence-led conversion of training you already have into practice that looks like the job
- Workflow integration with manager observation — not only reminders
- Outcome evaluation that separates retention, transfer, behaviour, and business results
No end quizzes as the finish line. No certificates as proof.
Paid discovery · typical buyer: digital lead, L&D, service manager, or business sponsor
What you get
- One role, one costly observable behaviour
- A map from that behaviour to a small set of practice objectives
- A retention horizon (when people still need to be able to do this)
- A baseline plan and a measurement plan
- A plain recommendation: stop, fix the teaching first, or go to a Sprint / Pilot
What you do not get
- A content library
- A platform licence
- A promise that the behaviour will change
Run this when the team check shows a floor problem, or when you already spent on a day / six weeks and cannot see lasting change.
Pricing hypothesis: see Pricing — fixed fee for one role and one capability.
Convert existing teaching into a practice journey
What you get
- Existing course or day converted into a 6–12 week practice sequence
- Short retrieval and application tasks (minutes, not hours)
- Feedback after a committed answer
- Interleaved scenarios so people practise choosing which rule applies
- Manager observation rubric for the same behaviour
- A delayed check date agreed before launch
What you do not get
- A rewrite of your entire curriculum
- LMS replacement
- Automated employment decisions from practice data
Natural next step after One day, one team (£1,800) or after AI at work, six weeks (£3,600) when the contact teaching is done and you need the skill to hold.
Model: preserve total teaching time where you can; break massed events into launch + spaced practice. That is a research model, not a guarantee for your numbers. Pricing hypothesis: fixed conversion fee for one behaviour / one cohort.
Proof before any wider roll-out
What you get
- Everything in the Sprint, operated for one cohort
- Baseline before practice
- Spaced retrieval practice over 6–12 weeks
- Manager observations on a small rubric
- Delayed retention and transfer check
- Optional matched or controlled comparison where the organisation can support it (practice vs usual follow-up; ideally also vs passive reminders)
- A written readout: what moved, what did not, cost per improved learner or behaviour, and a stop / revise / scale recommendation
Primary use case: reinforce one costly, observable capability after formal training.
Good first behaviours for HTBD buyers
- Judging a suspicious message (tell a real message from a fake one)
- Deciding what is safe to put into an AI tool
- Checking an AI answer before it goes to a tenant, resident, or customer
Pricing hypothesis: fixed implementation fee + per-cohort fee (not per-seat until usage is known).
Manager Observation Kit
- Behaviour rubric with anchors (observed / not observed / not applicable)
- Weekly coaching cue for line managers
- Team-level view — not a surveillance feed of every answer
Managed Practice
- Ongoing authoring and campaign operation for lean L&D teams
- Quarterly optimisation against the agreed measures
- Recurring services revenue; still teaching-led, not a black-box SaaS pitch
Evidence Lab (by request)
- Separate fixed fee for study design and impact analysis
- Kept separate so evaluation stays credible
- For organisations that need a defensible causal claim, not a vanity dashboard
Offer stack (plain)
Team check (free) → One day / Six weeks (teaching) → Practice Evidence Audit → Workshop-to-Practice Sprint → Digital Learning Practice Pilot → Manager Kit / Managed Practice / Evidence Lab.
You can enter at Audit or Sprint if teaching already happened elsewhere. You do not have to buy a platform to start.