Solin Early Warning

Early Warning Calibration Review

Tune your thresholds against what your students actually do.

After Solin Early Warning has been running for a term, we can analyze which signals were associated with non-completion or failed outcomes in your Moodle™ context. The Calibration Review turns that evidence into recommended threshold changes, applied configuration updates, and a written report.

$3,950, one-off. Available after at least 12 weeks of block data. Included once per year with the Institutional Dashboard tier.

Schedule a Calibration Review

What we deliver

Six deliverables, evidence-based thresholds, written report and applied changes.

1. Signal relevance analysis

We compare each of the five signals against final course outcomes where reliable outcome data exists. This helps answer questions such as: Did missed assessments predict non-completion in this course category? Did inactivity flags appear early enough to be useful? Did negative grade trend warnings add value, or mostly repeat what teachers already knew? Did forum silence matter in courses where forum participation is expected?

This analysis is scoped honestly. It works best where course completion, final grade, or pass/fail outcomes are clear. It is less useful in evergreen self-paced catalogs where outcomes are ambiguous.

2. Alert fatigue mapping

We aggregate dismissal events by signal and course category. This helps identify where teachers are most often dismissing flags, and whether those dismissals point to a threshold problem, a course-design mismatch, or a training issue.

3. Baseline engagement math

We analyze the actual access patterns of successful students across your institution. For example: “Your median successful student in this category logs in every 11 days. We recommend raising the default inactivity threshold from 7 to 14 days.” The point is to replace generic defaults with evidence from your own Moodle environment.

4. Written report

You receive a report with findings by signal, findings by course category, recommended threshold changes, recommended category-level overrides, known limitations, and a suggested next review point.

5. Configuration changes applied

We apply the agreed changes to your Moodle site, including site-wide settings and per-instance overrides where appropriate.

6. One-hour debrief

We walk through the findings and explain the configuration choices.

Two adults sitting at a table reviewing data on a laptop together
What it does not promise.

The Calibration Review does not promise elimination of false positives, and it does not promise a specific reduction in dismissal rate. What it does promise is that your thresholds will be grounded in your own evidence, rather than in generic assumptions.

Prerequisites

Four conditions before we can deliver the full report.

  • The free Solin Early Warning Block has been running for at least 12 weeks.
  • Snapshot logging is enabled.
  • Enough flag and dismissal data exists to analyze.
  • Outcome data exists for at least some courses, if Signal Relevance Analysis is required.

If outcome data is incomplete, we can still perform Alert Fatigue Mapping and Baseline Engagement Math. We will scope the Signal Relevance Analysis honestly before the engagement starts.

How the data flow works

Two options — same outcome, different IT involvement.

Option 1: you provide a data dump

You run the export command and send us the generated analysis file. This is usually preferred for EU public-sector and privacy-sensitive buyers.

Option 2: we use temporary read-only database access

You provide temporary read-only database access for the duration of the review. This is faster, but it requires your IT team to provision access.

In both cases, we avoid unnecessary personal data. The review is about aggregate signal behavior, threshold quality, course categories, and outcomes.

Who this is for

Institutions that already use Solin Early Warning and want the system tuned against their own evidence.

It is especially useful if:

  • teachers are dismissing too many flags
  • some course categories produce too many alerts
  • self-paced courses behave differently from cohort-paced courses
  • you need a documented end-of-term review
  • leadership wants to know whether the early-warning signals are meaningful

Talk to us

Schedule a Calibration Review, or ask a question first.