Analyzing DPP Performance Across Your Workspace: A Complete Guide

Analyze workspace-wide DPP performance: which metrics matter, how to aggregate compliance status and scan data — and what EU regulations will require from 2027 onward.

by QR3 Redaktion

Analyzing DPP Performance Across Your Workspace: A Complete Guide

If you're managing more than a handful of Digital Product Passports, a product-by-product view quickly becomes inadequate. As soon as a company handles multiple product lines, suppliers, or market regions within a single qr3.app workspace, a natural question arises: how do you aggregate and compare the overall performance of all your DPPs in a meaningful way? This article covers which metrics matter, how to query them systematically, and why the current regulatory landscape makes these analyses impossible to ignore.


Why Workspace-Wide Analysis Is Now a Must

Regulatory Pressure Is Building Fast

The Battery Regulation (EU) 2023/1542 requires manufacturers and importers of industrial batteries ≥ 2 kWh, traction batteries for electric vehicles, and batteries for light means of transport to attach a machine-readable data carrier that links to a structured digital data set. The legal obligation takes effect in February 2027 — and the time between now and then is short. Companies that cannot demonstrate reliable reporting on their DPP implementations by that deadline risk not only compliance gaps but also problems at customs.

In parallel, the European Commission launched the central EU DPP Registry on July 20, 2026. It stores unique product identifiers and links them to decentralized passport data. Companies must register their DPPs there — and must be able to prove that the underlying data is complete and up to date.

On top of that, Commission Implementing Regulation (EU) 2026/1778 of July 16, 2026 sets out the technical and operational rules for the central registry: APIs, semantic repositories, and verification platforms are all standardized there. If you're not continuously monitoring your DPP data, you won't detect deviations from the required state until a regulator or trading partner asks — by which point an orderly correction may be too late.

Harmonized Standards as the Benchmark

On July 15, 2026, the Commission published Commission Implementing Decision (EU) 2026/1736, harmonizing six technical standards (EN 18216 through EN 18223) for the DPP under the ESPR. These standards define, among other things, which data fields are mandatory and how interoperability between different systems must be ensured. For workspace-level analysis, this means that scan statistics alone are not enough — you also need to track the compliance status of every individual passport.


Key Metrics at a Glance

A meaningful workspace-wide analysis combines three dimensions: usage, data quality, and compliance. Focusing on only one of them gives you a distorted picture.

Usage Metrics: Scans, Resolver Calls, Device Types

GS1 Digital Link became mandatory for Data Matrix codes and QR codes following the GS1 ratification decision GSCN WR 26-226 of July 17, 2026. Every scan of such a code generates a resolver call that can be logged. At the workspace level, the following KPIs are worth tracking:

Metric Description Recommended Aggregation
Total scans Sum of all resolver calls in the period Daily, weekly
Scans per DPP Average and median across all passports Distribution, outliers
Geographic distribution Country of origin of scan requests Heatmap by ISO 3166
Device type Mobile vs. desktop vs. API client Share as percentage
Error rate HTTP 4xx/5xx at the resolver level Absolute and relative

In qr3.app, you can query this data workspace-wide via the Analytics API. A simple TypeScript example:

const response = await fetch(
  "https://api.qr3.app/v1/workspaces/{workspaceId}/analytics?from=2026-01-01&to=2026-07-31",
  {
    headers: { Authorization: `Bearer ${process.env.QR3_API_TOKEN}` },
  }
);
const data = await response.json();
console.log(data.totalScans, data.byPassport);

Data Quality Score

Beyond raw usage, what matters is how complete the stored passport data actually is. The harmonized EN standards define mandatory fields — a workspace dashboard should display a completeness score for every DPP. Common weak spots include:

  • Missing or expired certificate data (e.g., EU Declaration of Conformity)
  • Incomplete material declarations (relevant for recycling information obligations)
  • Outdated energy efficiency values following product changes

SQL-based reporting against qr3.app data exports can surface these gaps systematically:

SELECT
  passport_id,
  product_name,
  completeness_score,
  missing_fields
FROM dpp_quality_report
WHERE workspace_id = 'ws_abc123'
  AND completeness_score < 0.85
ORDER BY completeness_score ASC;

Compliance Status

Since the BatteryPass-Ready test environment went live on June 24, 2026 at thebatterypass.eu, companies can run their DPP implementations against defined conformance checks before the legal obligation kicks in in February 2027. The Fraunhofer IPK is responsible for the technical infrastructure of this platform. For a workspace-wide overview, a regular automated check is recommended: which passports have passed validation, which have not, and which haven't been submitted at all?


Workspace Analysis in Practice: Step by Step

Step 1: Define Your Export Structure

Before you can analyze anything, you need to know what data you have and in what format. qr3.app supports bulk export of all passports in a workspace as JSON or CSV. For recurring analyses, an automated export via cron job is the way to go:

curl -X GET \
  "https://api.qr3.app/v1/workspaces/{workspaceId}/passports/export?format=json" \
  -H "Authorization: Bearer $QR3_API_TOKEN" \
  -o passports_$(date +%Y%m%d).json

Step 2: Aggregate Your Metrics

Once you have the export, you can load the metrics into any BI tool — from simple pivot tables in Excel to dashboards in Grafana or Metabase. The key is that aggregation happens at the workspace level, not just the product level. Only by comparing across product lines or suppliers can you see where action is actually needed.

Step 3: Set Thresholds and Alerts

A reactive approach — "we check in once a quarter" — isn't sufficient when compliance obligations are ongoing. Useful alerts to configure:

  • A DPP's completeness score drops below 80%
  • The resolver error rate exceeds 2% over a 24-hour window
  • A DPP has not received a single scan in more than 90 days (a possible sign of a misplaced or unreadable code)
  • A certificate is set to expire in fewer than 30 days

Step 4: Document and Share Your Results

Regulators and trading partners will increasingly demand proof of DPP compliance. Structured export documentation — ideally as a machine-readable record in the format of the EU DPP Registry API — is therefore not a nice-to-have; it's part of your compliance documentation.


What the Coming Months Will Bring

The CEN/CENELEC webinar of June 25, 2026 made clear that the European standards for the DPP are not merely technical recommendations — six of them already carry legal force as harmonized standards under the ESPR. Companies that are still treating their DPP implementation as a pilot project will face significant pressure to adapt by Q1 2027 at the latest.

The launch of the central EU DPP Registry on July 20, 2026 marks the transition from pilot operation to operational reality. Building your workspace analysis now gives you a structural advantage: you can close gaps before regulators or customs authorities find them — and you can demonstrate to customers and investors that your sustainability data is not just present, but current and complete.

The technical foundations are in place: GS1 Digital Link as the identification standard, harmonized EN standards as the data framework, and the central registry as the indexing service. What's still missing at most companies is the operational follow-through: systematic analysis, clear ownership, and a process that treats data quality not as a one-time event but as an ongoing responsibility.

Sources