100% Pass Rate: What We Learned from Our Data Technician Programme.

Eight Completers. Six Distinctions. Two Merits. Zero Fails.

Every one of our Data Technician apprentices passed their end-point assessment. Six achieved distinctions, two achieved merits. That is a 100% pass rate from a cohort of eight completers.

We are going to be transparent about those numbers, because transparency is exactly what is missing from most apprenticeship marketing. Eight is a small number. We know that. But the results are real, verified, and they tell a story about how we operate that matters for every employer considering our new AI and Automation Practitioner programme.

The Numbers in Context

A 100% pass rate sounds good until you ask: compared to what?

The national apprenticeship achievement rate for 2023/24 was 60.5%, according to DfE statistics published in March 2025. That means roughly four in ten apprentices across England either withdrew, were made redundant, or did not pass their assessment. The government's own target sits at 67%, and the sector has not hit it yet.

Solveway's achievement rate across all programmes in 2024/25 is 74.3%, considerably above the national average. Our pass rate (the percentage of learners who reached their end-point assessment and passed) is 100%.

Those two figures measure different things, and we think it is important to say so. Achievement rate counts every learner who started, including those who left for reasons outside anyone's control. Pass rate counts only those who made it to the finish line. Both matter. Quoting only the flattering one would be misleading.

What Drove the Results

There is no single factor. But three things showed up consistently across our Data Technician cohorts.

Small cohorts, genuine attention

Our cohorts were small enough that every learner had a real relationship with their skills coach. Not a name on a spreadsheet. Not a quarterly check-in that felt like a compliance exercise. A working relationship where someone noticed when engagement dropped and did something about it before the problem escalated.

Community before content

The first four to eight weeks of any programme are where most dropout risk sits. We spent that period building trust and connection within the group before layering on technical content. Learners who feel part of something are far less likely to quietly drift away.

Early intervention through engagement monitoring

We tracked participation patterns from week one. If someone went quiet, that triggered a conversation, not an email. The earlier you catch a wobble, the easier it is to address. By the time a learner has missed three sessions, the recovery path is much harder.

The Support Model in Practice

Every apprentice on our programmes gets a named skills coach. Not a call centre, not a rotating team. One person who knows their name, their employer, their strengths, and where they are likely to need support.

Monthly progress reports go to the employer covering compliance, capability progress, and any concerns. These are one-page summaries, not 20-page documents nobody reads.

Quarterly reviews bring the apprentice, their line manager, and the skills coach together for a structured conversation. These reviews are where we catch misalignments early: is the apprentice getting enough project time? Is the employer seeing the value? Is anything blocking progress?

Escalation process: if engagement drops below a threshold, it triggers a structured intervention. First a conversation with the learner. Then a three-way discussion with the employer. We do not wait for problems to become crises.

The line manager's time commitment is approximately 30 minutes per week for a check-in, plus reviewing the monthly report and attending quarterly reviews. Total across the full year: roughly 24 hours, less than 1% of a manager's working time.

Honest Acknowledgement: Eight Is a Small Sample

We are not pretending that eight completers is a statistically significant dataset. It is not. You could argue (fairly) that results from eight people do not prove a model works at scale.

Here is why we think the number still matters.

First, the results were not lucky. Every one of those eight apprentices passed. Six achieved the highest available grade. That consistency across a full cohort, even a small one, suggests the support model is doing something right.

Second, our first AI and Automation Practitioner cohort is deliberately small: three to four learners. That is not a limitation; it is a choice. We want to run the new curriculum with the same level of individual attention that produced these results before scaling. Quality first, volume second.

Third, Solveway's 74.3% achievement rate covers all our programmes, not just Data Technician. The operational model, the coaching approach, the employer engagement structure; these are consistent across everything we deliver.

What Transfers to the AI Programme

The AI and Automation Practitioner apprenticeship (ST1512) is a different curriculum. Different tools, different knowledge areas, different assessment criteria. But the operational infrastructure is the same.

Same team.

The skills coaches who delivered 100% pass rates on Data Technician are the ones supporting the AI programme.

Same support model.

Named coach, monthly reports, quarterly reviews, early intervention when engagement drops.

Same coaching approach.

Community first, then content. Small cohorts. Genuine relationships, not compliance theatre.

Different curriculum, same discipline. The AI programme teaches Zapier, Make, n8n, prompt engineering, and responsible AI practice through 25 biweekly sessions over 12 months. The teaching is new. The way we look after learners is proven.

What Employers Told Us

The feedback from employers on our Data Technician programme clustered around three themes.

Visibility.

Employers consistently valued knowing where their apprentice was in the programme, what they were working on, and whether they were on track. The monthly reports were cited as the single most useful touchpoint.

Responsiveness.

When issues arose (project time being squeezed, motivation dipping, workload conflicts), employers appreciated that we raised them early rather than letting them fester.

Practical value.

The apprentices were applying what they learned to real business processes. Employers saw tangible improvements in how data was handled, not just a qualification at the end.

Ready to Talk?

If you want to know what a 100% pass rate looks like applied to AI and automation training for your team, book a discovery call. We will walk through the programme, the support model, and what it looks like for your specific business.

No commitment. No sales pitch disguised as a consultation. Just a straight conversation about whether this is the right fit.

Book a Discovery Call Contact Us