Introduction:
Users working with large datasets often face a daunting challenge: critical risk information is embedded within layers of detailed test results, making it difficult to identify which issues require immediate action. This can hinder effective prioritisation.
To address this, the Meridia Verify Portal now features the Results Dashboard—a new interface designed to provide a concise, visual summary of your dataset. It offers users a clear starting point after uploading and verifying data, helping them quickly understand key risks and determine the next steps.
This short tutorial will walk you through the dashboard’s layout and functionality to help you make the most of this powerful upgrade.
How to Navigate the Results Dashboard
Whenever you access a dataset's results page, you’ll now see the Results Dashboard by default. Let’s break down what you’ll find and how to use it effectively.
For this tutorial, we are using a dataset titled 'Result-Dashboard-Tut'.
1. Dataset 'Result-Dashboard-Tut'
Under this section of the dashboard, you will find a high-level summary of the dataset consisting of key verification parameters. This includes the following:
Creator: The name of the user who uploaded the dataset.
Verified: The timestamp indicating when the dataset was uploaded to the system.
Origin: The country from which the commodity was sourced.
Commodity: The specific type of agricultural or natural product included in the dataset (e.g. cocoa, coffee, palm oil). This helps categorise the data according to the commodity being assessed under EUDR requirements.
Test Profile: The methodology profile used to test this dataset.
Total Farm Plots: The total number of individual farm plots included and verified in the dataset. Each plot typically represents a distinct geographical area under cultivation and is assessed for compliance with deforestation and legality criteria.
Tests Applied: The number of tests applied to verify this dataset. By clicking the 'Details' button, you can view a list of both applicable and non-applicable tests.
This section gives you immediate context, so you understand what kind of data you're looking at and what has been done to it.
2. Total Risk Distribution
Next, you'll see a summary of the risk distribution containing a statistical snapshot of the results per risk profile:
This section displays the percentage and number of farm plots categorised under Critical, High, Medium, or Low risk, providing clear visuals and breakdowns for quick understanding.
It allows users to identify the most significant risks at a glance and prioritise areas that require immediate attention.
3. Farm Plot Reclassification Summary
This section summarises reclassification actions you’ve taken on your dataset. This helps track the progress and outcome of any contested farm plots:
This feature is useful if you’ve started resolving critical farm plots and want to track your progress easily. It shows how many farm plots have been reclassified and displays their current status (e.g. pending or completed).
4. Top compliance/data quality issues
This section allows you to display the breakdown of test results categorised into compliance tests and data quality tests by toggling between the two test groups. Each group shows the number of farm plots and tests applied under each risk profile.
⚠️ Note:
By hovering over the information icon, you can view the definition of each risk profile and the recommended actions for farm plots classified accordingly. This is helpful when prioritising actions.
You can explore detailed insights, such as which tests contribute most to the critical risk profile within each test group.
The tests are ranked in descending order, with the test affecting the largest number of farm plots appearing first.
In the example below, one of the tests, such as a deforestation check (e.g. DEF04)—highlights exactly which plots triggered a critical risk classification.
For each of the tests listed, you will find three available options to help take action on the group of farm plots scoring as critical. These options are:
Info & Resolution: This directs you to the Resolutions display, where you will find an overview of what the test is detecting, the thresholds being applied, and guidance on how to resolve or mitigate the associated risk.
View on Map: This opens a visual geospatial display showing the specific group of farm plots that have scored as critical for this test.
View Farm Plots: This takes you to the detailed view of the farm plots, displaying the inputted attribute information to help you identify and assess each individual plot.
5. View all Test Results
When clicking on the 'View all test Results', you can access the table view directly from there.
For any result shown, you can switch between the table view or map view with one click to explore granular data. Navigation is fluid—each click leads you intuitively into the section you need next.
Summary
This walkthrough shows how the new Results Dashboard makes it easier than ever to engage with your dataset results. By highlighting the most pressing issues and allowing you to explore them without hassle, it helps you move from confusion to clarity quickly and confidently.
The Results Dashboard isn’t just a new look—it’s a new way of working. It offers:
A clear, high-level summary the moment you enter
Instant access to critical issues and resolution tracking
Simplified navigation between the overview, table, and map views
Confidence in your next step, without having to dig through raw data
For dataset owners, project managers, or analysts alike, it saves time, removes guesswork, and sharpens decision-making.
We believe this is a small change that makes a big difference. Whether you’re verifying a dozen plots or a few thousand, the new dashboard gives you the tools to work smarter, not harder.