Learning Analytics Platform Development

Completion rates are an activity metric, not an effectiveness measure

An LMS tells you who completed a course. It doesn't tell you whether they retained the knowledge three weeks later, whether their performance changed as a result, or whether the training investment moved any business metric that leadership cares about. Custom learning analytics bridges the gap between the data your LMS generates and the business outcome evidence your stakeholders need: knowledge retention measured at intervals, learning impact correlated with performance and operational metrics, cohort analysis showing what works for which populations, and L&D ROI expressed in terms that justify the training budget.

  • Knowledge retention measurement using spaced-repetition assessments and post-training performance data beyond completion

  • Learning impact analysis correlating training activity to downstream business performance indicators

  • Cohort and segment analysis by role, department, tenure, and learning modality

  • L&D ROI reporting connecting training investment to measurable outcomes in terms the business understands

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The problem

Sound familiar?

  • Learning analytics showing completion rates and time-on-course, but no data on whether learners retained knowledge or changed behaviour after training?

  • L&D budget review requiring the L&D director to defend training spend with activity metrics rather than business outcome evidence because no system connects the two?

Short answer

A learning analytics platform measures what standard LMS reports miss: knowledge retention beyond completion, learning impact on business performance indicators, cohort analysis by role, department, and tenure, and the L&D ROI data that justifies training budgets in terms leadership understands. RaftLabs builds custom learning analytics platforms for L&D teams, delivering in 10 to 14 weeks at a fixed cost.

Key takeaways

  • Retention is measured with spaced-repetition assessments at one week, one month, and three months post-completion, producing decay curves that inform refresher frequency decisions.
  • Learning impact analysis links training completion to real business metrics, sales performance, error rates, turnover, using time-lag analysis to account for the delay between training and effect.
  • The platform is designed against the specific Kirkpatrick level (usually 3 and 4) your organisation needs to demonstrate, not a generic completion-rate dashboard.
  • An analytics layer on existing LMS data runs $20,000-$60,000; a full platform with business metric integration and cohort analysis runs $60,000-$140,000.

Trusted by

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Learning analytics delivery, by the numbers

products shipped
100+
industries served
24+
cost delivery
Fixed
week delivery cycles
10-14

Completion rates are an activity metric, not an effectiveness measure

Custom learning analytics bridges the gap between the data your LMS generates and the business outcome evidence your stakeholders need, measuring retention, correlating impact, and expressing L&D ROI in terms that justify the training budget.

Capabilities

What we build

  • 01
    Completion and engagement analytics

    Module-level dropout analysis, time-on-task signal, and assessment attempt patterns that go beyond completion counts to show real engagement.

  • 02
    Knowledge retention measurement

    Spaced-repetition assessments at one week, one month, and three months post-completion, with retention decay curves by role and modality.

  • 03
    Learning impact on business metrics

    Correlation analysis linking training completion to sales performance, error rates, and turnover, with time-lag analysis for the delay between training and effect.

  • 04
    Cohort and segment analysis

    Learning outcome comparison by role, department, tenure, and modality, surfacing patterns aggregate completion rates hide.

  • 05
    L&D ROI reporting

    Cost-per-learner, time-to-productivity value, and error-reduction value calculated in stakeholder-ready formats for budget reviews.

  • 06
    Real-time L&D operations dashboard

    Live completion status, overdue training alerts, and new-content performance tracking without running a manual report.

How we work

From scope to live analytics platform

  1. Week 1
    01

    Measurement gap scoping

    We map what your current L&D reporting covers and what questions leadership asks that you can't answer. You leave week 1 with a written scope document and a fixed-price quote.

  2. Weeks 2-4
    02

    Data model and integration design

    LMS and business-system integration, retention assessment logic, and cohort structure designed against your data.

  3. Weeks 5-11
    03

    Build and integrate

    Retention measurement, impact analysis, and ROI reporting built in parallel, tested against real training data.

  4. Final 2-3 weeks
    04

    Launch and stakeholder rollout

    L&D and leadership teams trained on their dashboards before full rollout.

Why us

Why L&D teams choose RaftLabs

  • 01
    Senior engineers build what they scope

    The engineers who assess your measurement gaps also build the solution. No bait-and-switch, no offshore handoff after the contract is signed.

  • 02
    Fixed price before development starts

    We scope the work, calculate the cost, and lock it in writing before any development starts.

  • 03
    9 years and 100+ products shipped

    Clients include Vodafone, T-Mobile, Aldi, Nike, Cisco, and Lockheed Martin. Track record building edtech and analytics platforms.

  • 04
    Built against the Kirkpatrick level you need to prove

    Not a generic completion dashboard, but the specific evidence your budget conversation requires.

  • 05
    Metrics your business already tracks, not generic benchmarks

    Impact analysis is built around your actual performance data, not industry averages.

Have a learning analytics project?

Tell us what your current L&D reporting covers, what questions leadership asks that you can't currently answer, and which business metrics matter to your stakeholders. We will design the right analytics layer and give you a fixed cost.

Learning Analytics Platform Development, scoped in one call.

Tell us what's broken. Within one business day you get a straight take on cost, timeline, and the right first step. No deck, no pressure.

Stay on topic

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Frequently asked questions

Knowledge assessment at intervals after completion shows whether the learning transferred to long-term memory. Performance data comparison between trained and untrained employees for the same role shows whether training changed on-the-job behaviour. Business metric correlation links training activity to the outcomes the organisation cares about, with the specific metrics defined during scoping.

Learning activity data lives in the LMS while business outcome data lives in your CRM, HRIS, operations platform, or data warehouse. Linking the two requires a data integration that pulls completion and assessment data from the LMS and joins it to performance and operational data, with a consistent employee identifier as the join key.

The Kirkpatrick model defines four levels: reaction, learning, behaviour, and results. Most LMS analytics platforms cover Level 1 and a partial view of Level 2. Level 3 and Level 4 require data from systems outside the LMS: manager observations, performance reviews, operational metrics. We design the analytics platform to address the level your organisation needs to demonstrate, usually Level 3 and Level 4.

An analytics layer built on top of an existing LMS data set, covering completion, engagement analytics, and retention measurement, typically runs $20,000 to $60,000. A full platform with business metric integration, cohort analysis, and L&D ROI reporting connected to operational systems typically runs $60,000 to $140,000.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Learning Analytics Platform Development in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.