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Project Monitor v7.7 Knowledge Center
Project Monitor v7.7 Knowledge Center
AI prompt library

AI prompt library

Here is a library AI prompts to use to help you navigate your way through Project MonitorProject Monitor.

  • Process 1: Technical consistency check (status and dates)/Data verification
  • Instructions for use
  • To go further
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Important:

Using these prompts may involve sending data from your environment to external artificial intelligence services.

By using these prompts, you acknowledge that you are solely manager content and data you transmit to these third-party services.

It is your responsibility to verify that the use of this data complies with your legal and contractual obligations and applicable confidentiality rules.

Virage GroupVirage Group cannot be held manager results produced.

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Compatibility

Prompts tested with:

  • ChatGPT 5.2,
  • Mistral the Cat,
  • Gemini (Reasoning engine).

Other AI engines may also be compatible.

Process 1: Technical consistency check (status and dates)/Data verification

Before launching a portfolio review Project MonitorProject Monitor For your committee, this AI process allows you, as the PMO , to verify PMO the data presented is consistent.

This prompt allows you to:

  • detect inconsistencies between project statuses and dates,
  • identify essential fields that have not been filled in,
  • generate a list of non-compliant projects and a summary.

You will therefore be able to correct discrepancies upstream, based on data exported from Project MonitorProject Monitor.

Instructions for use

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Rights required :

  • Viewing views in platform administrationViewing views in platform administration
  • Create a viewCreate a view
  • Using views in the view selectorUsing views in the view selector
  • View data exportView data export
  • Consultation of a project to which the user is assignedConsultation of a project to which the user is assigned
  1. In Project MonitorProject Monitorclick on AdministrationAdministration > Model settings > ViewsViews.
  2. Click on Create > Project data exportProject data export and fill in the required information.
  3. Define the Project attributesProject attributes :
    • Start dateStart date
    • End dateEnd date
    • statusstatus
    • WordingWording
    • CodeCode
    • project managerproject manager
    • and other desired attributes, such as WeatherWeatherthe PriorityPrioritythe TypeType project (depending on what has been configured on your platform).
  4. Define the HierarchiesHierarchies and RolesRoles that you wish to include in your audit.
  5. Click on RegisterRegister.
  6. From Project MonitorProject Monitor > AdministrationAdministration > Data administration > Exports > ProjectsProjects :
    • Indicate the scope of the projects you wish to cover with this AI process in the project filter.
    • Generate this export for the period only, with the view Project data exportProject data export prepared beforehand.
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  1. Copy the following prompt in its entirety into your dedicated AI tool:

    2. Prompt to copy

  1. Complete the section prompt form by replacing To be completed by the following elements (depending on your platform configuration) Project MonitorProject Monitor) :
    • Equivalent of status "ACTIVE" status : . The list value(s) used to identify active projects. For example: Getting started, In progress...
    • Equivalent to status "INACTIVE": The list value(s) used to identify inactive projects.

      • For example: Closed, Completed, Cancelled.

    • Fields required for control: depending on your needs, other attributes may be added, in which case they will need to be added to the view.

      • For example: the WeatherWeatherthe PriorityPrioritythe TypeType project (depending on what has been configured on your platform).

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  1. Start analyzing the prompt on your AI tool.

    2. ⏱️ The analysis may take approximately five minutes.

    ✅

    Example of result:

    image
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    Example_project_consistency_check.xlsx9.1 KiB

If you need to continue the analysis, you can:

  • customize the prompt with other information according to your needs,
  • Copy two other prompts for better results: AI library - To go furtherAI library - To go further.
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To go further

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Produced by Virage Group

role  You are a PMO  Quality expert specializing in PPM (Project & Portfolio Management) tools.
You analyze raw data exports (Excel/CSV) from Project Monitor, our PPM tool.
You perform data entry consistency checks according to explicit business rules, which will be specified below (in the section "Consistency rules to be applied").
Context: I will provide you with an export file from Project Monitor, our PPM tool, containing a list of projects.
Objective:
- Identify data entry inconsistencies between different fields within the same file based on defined business rules.
- Report only non-compliant items, accompanied by a summary.
Consistency rules to apply:
- Rule 1 (Start date in the past for active projects):
Description: If the "status" field = "ACTIVE," then the "Start date" field must be earlier than today's date.
- Rule 2 (End date in the future for active projects):
Description: If the "status" field = "ACTIVE," then the "End date" field must be after today's date.
- Rule 3 (Start date in the past for inactive projects):
Description: If the "status" field = "INACTIVE," then the "Start date" field must be before today's date.
- Rule 4 (End date in the past for inactive projects):
Description: If the "status" field = "INACTIVE," then the "End date" field must be earlier than today's date
- Rule 5 (field not empty):
Description: The fields listed in the form Fields required for control" form must not be empty
For each rule, replace: "ACTIVE," "INACTIVE," and "Fields required for management" with the items completed in the " form " section.
Use approximate identification (items are not case-sensitive and do not necessarily contain _ or . or ;).
Analysis instructions:
- A single project may violate several rules.
- If a rule cannot be evaluated due to a lack of data, report this explicitly.
Expected output format:
- Return only projects with at least one non-compliance, in the form of a downloadable, structured EXCEL table. There are 13 columns in total.
For the "Rule n" columns, indicate "NOK" if the rule is violated, "OK" if the rule is validated, and "Rule not applicable" if the rule cannot be applied.
In addition, you will indicate the exact name of the rule in the column: example: "Rule 5 (field not empty)" for rule 5.
- For the "Displayed value" columns, indicate the date concerned and then the status .
Here are the exact column headings in the generated file:
Project code; project name; project manager  Rule 1 (Start date in the past for active projects); Displayed value of rule 1; Rule 2 (End date must be in the future for active projects); Displayed value of rule 2; Rule 3 (Start date in the past for inactive projects); Displayed value of rule 3; Rule 4 (End date in the past for inactive projects); Displayed value of rule 4; Rule 5 (field not empty); Displayed value of rule 5;
If no non-compliance is detected, clearly indicate this.
Also provide a summary of the main results so that an idea can be formed even before opening the generated file.
Response constraints
Professional tone, focused on control and governance, No unnecessary explanations, Be precise and clear
form :
Equivalent of "ACTIVE" status : To be completed
Equivalent of "INACTIVE" status : To be completed
Fields required for management: To be completed