MAG OptiAI

Results and outputs How-To

How to review results

Read the main result view, check the generated output, and understand whether the workflow produced a usable result.

Guide details

Audience

Product users

Time

5 minutes

Category

Results and outputs

What this guide covers

Read the main result view, check the generated output, and understand whether the workflow produced a usable result.

Open the completed result

Check headline KPIs

Review generated output

Compare result status against the objective

Decide whether to accept, adjust, or rerun

Step by step

Follow the task path

Each step gives you the action, the reason it matters, and the visual state to look for before continuing.

1

Step 1

Open the completed result

Start from a completed workflow result. Make sure the run finished successfully before relying on the output.

Results review

Review the results

After the run is complete, the Results step gives you a complete view of the outcome. Use the sections below to analyze performance, understand AI insights, explore alternatives, and compare scenarios.

Performance summary

View key KPIs and metrics to understand the quality of the result.

Gantt chart

Visualize the schedule or plan over time with timelines and resource assignments.

AI Explain

AI

Get AI insights that explain why the result looks the way it does.

What-if analysis

AI

Test changes to inputs or settings and see how they impact the results.

AI Compare

AI

Compare this result with other runs or scenarios side by side.

Review all sections to validate the result quality, export outputs, or decide the next action.

Results step showing performance summary, data quality, AI Explain, and comparison tools.

Tip: Use AI Explain to understand why the schedule looks the way it does, or run what-if analysis and AI Compare to explore alternatives and improvements.

2

Step 2

Check the result summary

Read the headline KPI cards first. They tell you whether the result improved the objective, met core constraints, or needs another pass.

Result KPI summary cards.
3

Step 3

Review the generated output

Open the relevant table, chart, schedule, route, forecast, score list, extracted fields, or document answer before sharing or exporting.

Generated production schedule timeline.
4

Step 4

Decide the next action

Accept the result, export it, ask AI Explain, create a what-if variant, or return to setup if the output does not match the operational goal.

AI Explain panel available from a completed result.

Tips

Always check KPIs before exporting.
Use AI Explain when the result is valid but needs interpretation.
Use What-if when the result is valid but you want to test an alternative.

Related how-to guides

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How to read KPIs, charts, and tables

Use metrics, charts, tables, and summaries to understand performance, compare outcomes, and identify important changes.

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