3 E’s of Development
Dimension: Pursuit · Type: Stage
A three-dimension check on any development plan: Experience (learning by doing), Exposure (learning through others), Education (structured learning, including AI tools and courses). Most plans over-index on Education; the strongest plans run all three.
Introduced by Sina Weinhuber (UNV) at the AI for Your Career, Practical Tools and Prompts session of the UN Inter-Agency Career Week 2026, on 6 May 2026. Sina used the framework to argue that most AI tools in the session occupy the Education dimension, while real skill growth needs all three.
The framework
The 3 E’s is a well-established adult-learning model, closely related to the widely-used 70-20-10 framework (70% experience, 20% exposure, 10% education). The named formulation in the session was Sina’s; the underlying structure has decades of practice behind it.
When to use it
- When you finish a course or AI prompting session and need to decide what comes next.
- When you are designing a personal development plan and want to make sure it does not collapse into “I will take a course”.
- When you are advising a colleague who is investing learning time but not seeing the skill move.
What you need
A specific skill you want to develop. Honest awareness of how you are currently investing in it.
The three dimensions
Experience: learning by doing. Real practice of the skill in a real context with real consequences. Examples: taking a new task in your current role, joining a project that stretches you, running a small experiment, volunteering for a piece of work outside your usual scope.
This is where most actual skill growth happens. Without Experience, Education stays theoretical.
Exposure: learning through others. Learning by observing, asking, and being seen. Examples: shadowing a colleague who is good at the skill, asking for feedback on a recent piece of work, joining a community of practice, finding a mentor (formal or informal), bringing the skill into a peer-review conversation.
Exposure is the lever most people under-use. It compounds because relationships built around skill development outlast any single learning episode.
Education: structured learning. Courses, webinars, AI prompting sessions, books, structured curriculums. Examples: LinkedIn Learning, Coursera, the LinkedIn Learning AI Coach (see AI Prompting for Learning), an internal training programme.
Education has the most impact when paired with the other two dimensions and low-impact when used alone.
Steps
- Pick the skill. One specific skill you are trying to develop, drawn from your Skills Self-Audit Evolve bucket.
- List your current investments across the three dimensions. Be honest. Most plans cluster in Education.
- Add at least one specific commitment in each missing dimension. For Experience: where will you practise this skill in a real context next week? For Exposure: who can you learn from, and what is one specific ask? For Education: what is the single most relevant course or resource for the next 30 days?
- Always pair an Education commitment with an Experience commitment. When you take a course or run an AI session, immediately ask: “where and with whom will I apply this next week?” If the answer is “I will think about it later”, the Education investment will not produce a skill.
- Re-check monthly. Skills move when all three dimensions stay active. The check is whether the dimensions are still alive, not whether the plan has changed.
Worked example
A programme officer wants to develop her data-analysis skill, identified as Evolve in her latest Skills Self-Audit. She maps the three dimensions:
- Experience. She volunteers to take over the monthly partner-reporting dashboard from a departing colleague, with three months of overlap to learn the system on a real deadline. Practice is structural, not optional.
- Exposure. She identifies a senior data-analysis colleague in the regional office and asks for two 30-minute conversations: one for context-setting and one for a critique of her first dashboard iteration. Plus she joins the agency’s monthly data-community-of-practice call.
- Education. Enrols in the LinkedIn Learning Power BI track for the first 30 days, paired with the agency’s internal data-literacy course. Uses the AI Prompting for Learning approach to deepen specific topics.
After 90 days, the skill has moved. The Education alone would have produced a certificate; the three dimensions together produced a usable capability.
Pitfalls
- Treating Education as the whole plan. A development plan that lives entirely in courses is the most common failure mode. Without Experience, the skill does not transfer.
- Treating Experience as “just doing the day job”. Experience for development purposes means a deliberate stretch, not routine work. If the work would happen the same way regardless of your skill goal, it is not Experience in this sense.
- Skipping Exposure because it feels indirect. Exposure is the highest-compounding dimension over years. The mentor relationship that takes a few months to build pays back across multiple skills, not just one.
- No specific commitments per dimension. “I will get more exposure” is not a commitment. “I will ask X for a 30-minute conversation by next Friday” is.
When not to use it
When the question is not actually about skill development but about a binary decision (whether to apply, whether to accept a role). The 3 E’s is for plans that span weeks or months, not for next-step decisions.
How I use it
Personal note pending. Davide to fill.
Related frameworks
- Career Gap to Sprint Workflow, the application sprint that operationalises the three dimensions against a specific vacancy.
- AI Prompting for Learning, the specific tools that make the Education dimension efficient.
- Skills Self-Audit, the recurring practice that identifies which skill warrants a 3-E plan.
- Skills-First Approach, the broader stance the development plan operationalises.
Notes compiled by Davide Piga. Last updated 2026-05-09.