📖 Analyze Your Data Records

Once work instructions are executed, the recorded data provides valuable insights into your production efficiency, worker performance, and quality control. This guide will help you access, review, and utilize work instruction data effectively.

The Traceability page logs detailed data for every executed work instruction. The following key information is available:

✔ Timestamp – When each step was confirmed/completed
✔ Workstation – Where the instruction was executed
✔ User – Who performed the instruction

✔ Article Names & Numbers – Which materials or components were used
✔ Quantities – How many of each item were consumed

✔ Tracked Measurements – Values recorded during execution (e.g., torque settings, serial numbers)
✔ Operator Inputs – Any manually entered data

The system also stores extensive raw data in JSON format, which includes:
✔ Step-by-step execution logs
✔ Device interactions (e.g., barcode scans, sensor triggers)
✔ Conditional workflow decisions (e.g., skipped steps due to quality control)
✔ Error logs or failed steps

📌 Tip: The JSON data provides deep-level traceability, allowing IT teams or analysts to extract custom reports and integrate with external systems.

Step 1️⃣: Set your filters

1. Select one or multiple work instructions – View traceability records for a specific instruction
2. Select a date range – Focus on executions within a selected timeframe
3. Select a specific data element and a specific – Search for specific recorded values (e.g., find all executions with serial number 12345)
4. Set the completion status – Choose whether to include canceled processes or view only completed executions

📌 Tip: This feature is especially useful for quality control and audits, ensuring every step of an instruction was correctly followed.

Step 2️⃣: Export your data

1. Scroll down to the detailed traceability records
2. Choose between:
• PDF
• JSON
• CSV
3. Export and download your traceability records

Step 3️⃣: Using the Duration Page

On the Duration page, you can analyze the time spent on each process by comparing:

1. Set the benchmark value – A self-selected reference time for ideal execution of the instruction
2. Click on compare durations
3. Get insights to actual execution times – How long each step and full instruction took in real production
4. Analyze and highlight time deviations in %

📌 Tip: If actual durations deviate significantly from the benchmark, it may indicate training gaps, workflow inefficiencies, or technical issues.

Step 4️⃣: Generate automatic reports

📊 Automated Reporting

• Set up scheduled reports for periodic reviews
• Pre-define filters (e.g., only report specific instructions, trigger report after succesfull completion or similar)

📌 Tip: Automating reports helps managers identify long-term trends and improve workflows.

Learn more →

Step 5️⃣: Optimizing Work Instructions Based on Data

With the collected data, you can:

🔄 Adjust Workflows – Modify step durations or execution conditions based on past data
⚡ Refine Training – Provide additional guidance to workers where needed
📢 Improve Process Efficiency – Reduce bottlenecks and improve production timelines

💡 What’s Next?

🎯 Now that you are able to analyze your data, here’s what you should do next:

✅ Create Automatic Reportings →

✅ Set Up Conditional Workflows →

📩 Need help? Contact support@setago.io