UK

United Kingdom · Learning and development · Mid-Level (2-5 years)

Learning Evaluation Specialist

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toSenior Learning Evaluation Specialist or Manager, Learning Analytics & Impact
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as L&D Analyst · Training Impact Specialist · Learning Measurement Analyst

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

GQA PAA\VQ-SET Level 3 Certificate in Learning and Development GQA Qualifications Limited · Level 3 · covers 5 of 10 standards
City & Guilds Level 4 Diploma in Learning and Development City & Guilds Limited · Level 4 · covers 3 of 10 standards
OCNLR Level 4 Certificate in Education and Training OCN London · Level 4 · covers 3 of 10 standards
NOCN Level 4 certificate for Data Analysts NOCN · Level 4 · covers 2 of 10 standards
Pearson BTEC Level 4 Higher National Certificate in Computing for England Pearson Education Ltd · Level 4 · covers 2 of 10 standards
Pearson BTEC Level 3 National Extended Diploma in Enterprise and Entrepreneurship Pearson Education Ltd · Level 3 · covers 1 of 10 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Evaluate and improve learning and development provision GQA PAA\VQ-SET Level 3 Certificate in Learning and Development
Identify individual learning and development needs City & Guilds Level 4 Diploma in Learning and Development
Data Analytics Primer NOCN Level 4 certificate for Data Analysts
Data Analytics Pearson BTEC Level 4 Higher National Certificate in Computing for England
Enterprise and Entrepreneurs Pearson BTEC Level 3 National Extended Diploma in Enterprise and Entrepreneurship

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
Foresight Fluency seeing round the corner
Systems Fluency seeing the whole picture
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Your Plan Illustration

Built for Learning Evaluation Specialist

5 units that map to this job, from the qualifications that cover it.

  1. Evaluate and improve learning and development provision GQA Qualifications Limited · covers 5 of 10 standards Level 3
  2. Identify individual learning and development needs City & Guilds Limited · covers 3 of 10 standards Level 4
  3. Data Analytics Primer NOCN · covers 2 of 10 standards Level 4
  4. Data Analytics Pearson Education Ltd · covers 2 of 10 standards Level 4
  5. Enterprise and Entrepreneurs Pearson Education Ltd · covers 1 of 10 standards Level 3
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a Learning Evaluation Specialist?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Prompt Engineering & LLM Integration
  • Advanced Data Storytelling for Executive Audiences
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your Learning Evaluation Specialist plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

This job checks whether training actually works, using data rather than opinions to see if skills stick and behaviour changes.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Microsoft Excel (Power Query, PivotTables) Advanced

Your bread and butter for data cleaning, basic analysis, and creating quick charts. You'll be using VLOOKUPs, PivotTables, and Power Query regularly to get data into shape.

Workday Learning / Cornerstone OnDemand (LMS Data Extraction) Intermediate

You'll be running and exporting standard reports from our LMS to get completion rates, quiz scores, and course engagement data. You know your way around the system.

SurveyMonkey / Qualtrics (Survey & Assessment) Intermediate

You'll be building and deploying surveys for Level 1 reactions and Level 2 learning checks. You can set up basic logic and question types effectively.

Python (pandas, Matplotlib) or R (Tidyverse) Intermediate

For larger datasets or more complex statistical analysis, you'll use Python (with libraries like pandas for data manipulation and Matplotlib for plotting) or R (with the Tidyverse package). You can write scripts to automate data cleaning and analysis tasks.

Tableau or Power BI (Data Visualization) Basic

You can read and interpret existing dashboards and create simple, clear charts and visualisations to present your findings to L&D teams. You understand the basics of what makes a good dashboard.

Workday HCM / SAP SuccessFactors (HRIS Data) Basic

You understand how to request and use basic employee data (like department, tenure, performance ratings) from our HRIS for demographic analysis and correlating with learning outcomes.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Evaluation Plan Design Proposes initial plan, requires full review and approval by supervisor. Designs plan independently for specific programmes, consults with manager on strategic elements or complex measurement challenges, then gets final sign-off. Designs complex evaluation frameworks for entire curricula, makes recommendations to leadership, and approves plans for junior team members.
Data Analysis Methodology Follows established analysis templates and methods, escalates any deviations. Chooses appropriate statistical methods (e.g., t-tests, basic regression) for routine problems, consults on novel analytical approaches or when dealing with ambiguous data. Defines and implements advanced analytical techniques, sets standards for analytical rigour across the team, and troubleshoots complex data issues.
Report & Dashboard Content Populates existing report templates, content reviewed for accuracy and clarity. Designs and builds new reports/dashboards for specific programmes, ensuring clarity and actionable insights. Manager reviews for strategic alignment and overall message. Defines executive-level reporting standards, ensures all team outputs align with strategic messaging, and presents key findings to senior leadership.
Stakeholder Communication Communicates with immediate team and supervisor. All external communication drafted and approved by supervisor. Communicates directly with L&D Programme Managers and some business stakeholders on project-specific updates and findings. Seeks manager's advice for sensitive or high-stakes conversations. Leads stakeholder discussions, presents findings to cross-functional leads, and manages expectations around data availability and insights.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Evaluation Plan Completion Rate
How many of your assigned learning programmes actually have a solid evaluation plan designed and agreed upon.
Target · 90% of assigned programmes

If you're assigned five programmes to evaluate in a quarter, we'd expect four or five of them to have a clear, documented measurement plan in place.

Key Report Delivery Time
How quickly you turn around the main evaluation reports after a programme finishes and all data is collected.
Target · Within 2 weeks for standard reports, 4 weeks for more complex ones

A sales training ends on 15 January, all Level 1-3 data is in by 22 January. We'd expect the draft evaluation report in the L&D Manager's hands by 5 February.

Data Accuracy & Integrity
The cleanliness and correctness of the data you pull, clean, and use in your analysis.
Target · Fewer than 2 minor errors per major report; zero critical errors

You present a report, and your manager finds a duplicate entry in your raw data or a formula error in your Excel sheet. That counts as a minor error. A critical error would be misreporting a £50K ROI as £500K.

Level 1 Survey Response Rate
The percentage of participants who actually complete the initial 'reaction' surveys after a training.
Target · Average of >60% across all programmes

If 100 people attend a course, and 65 fill out the survey, that's 65%. We want to see this consistently high, as it's the first step to getting any data at all.

Clarity of Insights & Recommendations
Your ability to present complex data in a way that's easy to understand, with clear, actionable recommendations for the L&D team.
  • L&D Programme Managers tell us your reports are easy to read and understand. They can immediately see what they need to do next. You don't just dump a load of charts on them
  • you tell them what it all means.
Stakeholder Engagement & Trust
How well you build relationships with L&D colleagues and business stakeholders, making them feel confident in your evaluation process and findings.
  • L&D Managers come to you early in the programme design phase to discuss evaluation. Business Unit Managers are willing to share their performance data with you. People trust your numbers, even when they're not what they hoped for.
Proactive Problem-Solving
Your initiative in identifying potential data issues or challenges in measurement and proposing solutions, rather than waiting for problems to escalate.
  • You flag early that a particular LMS export is missing key fields and suggest an alternative data source. You notice a dip in survey response rates and propose a new reminder strategy before we even ask.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Making a Tangible Impact

You'll get a real buzz from seeing your analysis lead to a programme being improved, or a budget being reallocated to something more effective. You like knowing your work isn't just 'busy work' but actually changes things.

You identify that a particular module in a leadership course isn't resonating, and your recommendation leads to it being completely redesigned, resulting in better feedback and more observed behaviour change.

Solving Complex Puzzles

You enjoy the challenge of taking disparate data points, cleaning them up, and piecing them together to uncover a hidden trend or explain 'why' something happened. It's like being a detective with spreadsheets.

You're given a load of survey responses, LMS completion data, and sales figures. Your job is to figure out if the new sales training actually led to an increase in sales, and if so, how much.

Continuous Learning & Improvement

You'll always be looking for better ways to measure, new tools to use, or different statistical approaches. The idea of constantly refining our evaluation methods really appeals to you.

You proactively research a new survey design technique or a more efficient way to automate a data pull, then bring that idea back to the team to try out.

What frustrates people
  • Spending 40% of your week just cleaning and reformatting data from old systems.
  • Stakeholders who only care about 'smile sheet' scores and ignore deeper, more impactful analysis.
  • Being asked for business impact data (like sales figures) that suddenly becomes 'unavailable' when you need it.
  • The political pressure to find a positive story in the data, even when the results are lukewarm.
  • Designing a robust Level 3 measurement plan only to get a dismal response rate from busy managers.
What this role does not give you
  • If you need to see every single piece of your work immediately implemented and celebrated, you'll struggle here. Some great analysis will sit on a shelf.
  • If you prefer a perfectly clean, well-structured data environment where everything is easily accessible, you'll be frustrated. Data wrangling is a huge part of the job.
  • If you're looking for a role where you're constantly designing and delivering training yourself, this isn't it. Your focus is on measuring the impact, not building the content.

8Who you work with

Your work directly influences how we spend our learning budget and shapes the effectiveness of our entire L&D offering. If you can show that a programme genuinely improves performance, it gets more investment. If it doesn't, we stop doing it. Simple as that, in theory anyway.

Inside the business
  • L&D Programme Managers (they'll want to know if their programmes are effective)
  • L&D Content Designers (they'll use your feedback to improve materials)
  • HR Business Partners (they often sponsor learning initiatives)
  • Business Unit Managers (they're the ones whose teams you're evaluating)
  • HRIS Team (you'll need their help to get employee data)
Outside the business
  • Learning Technology Vendors (sometimes you'll need to work with them on data exports or API access)

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2 years of experience in a data analysis, HR analytics, or L&D evaluation role.
  • Demonstrable experience with data cleaning and analysis using Excel (advanced) and ideally Python or R (intermediate).
  • A solid understanding of basic statistical concepts (e.g., averages, percentages, correlation, basic hypothesis testing).
  • Experience designing and administering surveys using tools like Qualtrics or SurveyMonkey.
  • A proven track record of presenting data insights clearly to non-technical audiences.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced Causal Inference & Quasi-Experimental Design

Moving beyond simple control groups, businesses want more robust proof of impact. Understanding how to design studies that credibly isolate the effect of learning, even when true randomisation isn't possible, will be crucial.

Propensity Score Matching · Difference-in-Differences · Regression Discontinuity · Interrupted Time Series

  • This week: Read a few articles on 'quasi-experimental designs in HR' to get a basic understanding.
  • This month: Look for online courses or webinars on causal inference for business analysts.
  • Month 2: Identify one past learning programme where we didn't use a control group, and try to sketch out how you could have used a quasi-experimental design.
  • Month 3: Discuss these concepts with your manager and see if there's a current project where you could apply a more advanced method (even if it's just a thought experiment).

Quick win: Start thinking about 'what else could have caused this outcome?' every time you see a correlation in the data. It's the first step to causal thinking.

SQL for Direct Data Querying

Relying solely on pre-built reports or manual exports from LMS/HRIS is slow and limiting. The ability to write your own SQL queries to pull exactly the data you need, directly from data warehouses, will massively increase your efficiency and the depth of your analysis.

SELECT, FROM, WHERE clauses · JOIN operations · GROUP BY & Aggregate Functions · Subqueries & CTEs

  • This week: Sign up for a free online SQL tutorial (Codecademy, DataCamp, Khan Academy are good starts).
  • This month: Practice writing basic SELECT and JOIN queries on a dummy dataset or a sandbox environment.
  • Month 2: Ask the HRIS or IT team if there's a read-only database you can practice querying our actual (anonymised) data from.
  • Month 3: Try to replace one of your regular LMS exports with a direct SQL query, even if it's a simple one.

Quick win: Learn the absolute basics of SQL (SELECT, FROM, WHERE) today. You'll be amazed how quickly you can start pulling specific bits of data.

11Staying current once you are in

What people here do to keep up
  • Attending industry webinars or conferences focused on learning analytics and evaluation (e.g., Learning Technologies, World of Learning).
  • Joining online communities or forums for L&D professionals or data analysts to share ideas and learn from peers.
  • Taking advanced online courses in statistical analysis, data visualisation, or specific tools like Python/R or SQL.
  • Reading books and articles on topics like the Kirkpatrick Model, Phillips ROI Methodology, or data storytelling.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Prompt Engineering & LLM Integration

Honestly, competitors are already using tools like ChatGPT and Claude to draft reports and summarise qualitative data in minutes. If you can't, you'll be left behind. Analysts who figure this out will outproduce peers significantly.

  • Context Windows & Token Limits
  • Temperature Settings
  • RAG Architectures
  • Output Validation & Hallucination Detection
  • Prompt Chaining

Advanced Data Storytelling for Executive Audiences

It's one thing to present data to the L&D team, it's another to get a VP or C-suite executive to act on it. The ability to distil complex insights into a compelling, concise narrative that speaks to business strategy is becoming non-negotiable.

  • Executive Summary Best Practices
  • Visualisation for Impact
  • Narrative Structure
  • Anticipating Questions

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Kirkpatrick Model of Evaluation
  • Learning Transfer Analysis
  • Advanced Survey Design & Psychometrics (Basic)
  • Causal Inference Methods (Basic)
  • Data Cleaning & Transformation

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Junior Learning Evaluation Associate / L&D Administrator with Data Focus

    1-2 years

    Skills to master

    • Mastering data extraction from LMS, basic Excel analysis, survey administration, and understanding the basics of L&D programme lifecycle.

    You're ready to move on when

    • Consistently accurate data pulls and reports.
    • Proactively identifying minor data inconsistencies.
    • Successfully managing multiple survey deployments and data collection efforts.
    • Clear understanding of L1 and L2 evaluation metrics.
  2. 2

    HR Analyst / Business Analyst (with L&D exposure)

    2-3 years

    Skills to master

    • Applying analytical techniques to HR or business data, understanding stakeholder needs, building basic dashboards, and translating business questions into data problems.

    You're ready to move on when

    • Successfully delivered several data analysis projects for HR or business units.
    • Proficient in Excel and at least one BI tool (Tableau/Power BI) or scripting language (Python/R).
    • Ability to independently gather data from various systems and present findings.
    • Strong communication skills with non-technical stakeholders.
  3. 3

    Academic Researcher / Post-Graduate Student (relevant field)

    0-2 years (post-degree)

    Skills to master

    • Translating academic research skills (statistical analysis, research design) into practical business applications, understanding corporate L&D context, and learning business-specific tools.

    You're ready to move on when

    • Demonstrated strong quantitative research and analytical skills through academic work.
    • Ability to explain complex methodologies in a clear, concise manner.
    • Eagerness to learn corporate systems and apply academic rigour to real-world problems.
    • Experience with statistical software (e.g., SPSS, R, Python).

15Where this role leads

The long view: This work can lead to designing learning measurement strategy across an organisation, or managing a team of evaluation specialists.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how Learning Evaluation Specialist is actually changing.

Where it leads

Roles this leads to

Also named as a next step, with no page in the catalogue yet:

  • Learning Programme Manager

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Evaluate and improve learning and development provision, worked against Learning Evaluation Specialist.

Evaluate and improve learning and development provision Level 3

Applied to your work in Learning Evaluation Specialist

This unit aims to provide learners with an understanding of the contexts, methods, and processes involved in evaluating and improving learning and development provision. Learners will be able to evaluate learning and development provision in accordance with organisational requirements and quality standards, and implement improvements while ensuring regulatory compliance.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

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See Your Progress Grow Illustration
Learning Evaluation Specialist
  • Kirkpatrick Model of Evaluation
  • Learning Transfer Analysis
  • Advanced Survey Design & Psychometrics (Basic)
  • Causal Inference Methods (Basic)
  • Data Cleaning & Transformation
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

Learning Evaluation Specialist is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior Learning Evaluation Specialist (L3)

    3-5 years in this role

    You'll move from owning individual programme evaluations to leading evaluation for entire curricula or strategic initiatives. You'll also start mentoring junior colleagues and introducing more advanced analytical methods.

    • Designing and implementing Brinkerhoff's Success Case Method (SCM) for qualitative insights.
    • Applying Phillips ROI methodology to calculate monetary return on investment.
    • More advanced statistical modelling (e.g., multivariate regression, cluster analysis).
    • Leading complex causal inference studies for high-stakes programmes.

  2. Learning Programme Manager

    4-6 years in this role (or a similar L&D role)

    This is a shift from pure evaluation to designing and managing the delivery of learning programmes. Your evaluation background will make you a much stronger Programme Manager, as you'll inherently design for measurable impact.

    • Instructional design methodologies (e.g., ADDIE, agile learning design).
    • Learning technology administration and optimisation.
    • Facilitation and delivery of learning content.
    • Marketing and communication strategies for learning programmes.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a big chunk of evaluation work is repetitive: pulling data, cleaning it, summarising feedback. Imagine if you could cut that time in half, or even more. That's where AI comes in. We're not talking about replacing your brain; we're talking about giving you a super-powered assistant so you can focus on the really interesting stuff – the 'why' and the 'so what' of the data.

Our AI Productivity Hub is packed with tools and guides that show you how to use AI to automate the tedious bits of learning evaluation. Think of it as your secret weapon for getting more done, faster, and with less headache. You'll be able to tackle more projects, dig deeper into insights, and frankly, make a bigger impact without working longer hours.

Automated Data Janitor

Use AI-powered scripts (like Python with specific libraries) or smart tools to automatically pull data from our LMS or HRIS systems. It'll clean up inconsistencies, merge different datasets, and flag any weird anomalies for you. No more endless hours of manual spreadsheet scrubbing.

Insight Amplifier

Got thousands of open-ended survey comments? Instead of manually reading and coding them for days, feed them into an AI model. You'll get instant sentiment analysis and topic modelling, identifying key themes and pain points in minutes. It's like having a team of researchers at your fingertips.

Instant Lit Review

Need to quickly get up to speed on the latest academic studies or industry whitepapers about, say, 'measuring the impact of leadership coaching'? An AI research assistant can summarise the core findings for you in minutes, giving you a solid theoretical foundation for your measurement strategy without wading through dozens of papers.

Executive Summary Drafter

Once you've done all your brilliant analysis, feed your key data points, charts, and conclusions into a generative AI. It'll produce a well-structured first draft of your executive summary or PowerPoint narrative, saving you hours of staring at a blank page. You'll then refine it, adding your unique human touch.

Common questions

Common questions

How do you become a Learning Evaluation Specialist?

Common routes in include Junior Learning Evaluation Associate / L&D Administrator with Data Focus (1-2 years), HR Analyst / Business Analyst (with L&D exposure) (2-3 years) and Academic Researcher / Post-Graduate Student (relevant field) (0-2 years (post-degree)). Times vary with prior experience.

Where can a Learning Evaluation Specialist progress to?

This role can lead on to Senior Learning Evaluation Specialist (3-5 years in this role) and Learning Programme Manager (4-6 years in this role (or a similar L&D role)), depending on the skills you build.

What new skills matter most for a Learning Evaluation Specialist?

Increasingly, Prompt Engineering & LLM Integration and Advanced Data Storytelling for Executive Audiences. These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

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17Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in learning and development

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills involved, data analysis, statistical methods, and explaining business impact, transfer to HR analytics, business intelligence, market research or product analytics in other sectors. Good analysis is always in demand.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my Learning Evaluation Specialist plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.