Managing results¶
After a research job completes, its results are stored as Progrid.research.result records. Each
result represents a single business discovered during the research process, complete with extracted
contact information, confidence scoring, and activity assessment.
Viewing results¶
There are several ways to access research results:
From a job: Open a completed research job and click the Results smart button to see all results for that specific job.
All results: Navigate to to see results from all research jobs.
My results: Navigate to to see results only from jobs you created.
Result views¶
Kanban view¶
The default view for results is a kanban board grouped by activity status. Results are organized into three columns:
Active – Businesses showing clear signs of recent activity (updated website content, recent blog posts, current copyright dates, active social media)
Unclear – Businesses where the AI could not confidently determine activity status (limited information available, ambiguous signals)
Inactive – Businesses showing signs of being dormant or closed (outdated content, broken pages, expired domains, old copyright dates)
Each kanban card displays:
Business name – The extracted company name
Confidence score – Displayed as a percentage badge (0-100%)
Website – The source URL where the business was found
Key contact info – Email and/or phone if available
List view¶
Switch to list view for a tabular display of all results. Columns include:
Business Name – Extracted company name
Activity Status – Active, Unclear, or Inactive
Confidence – Score as a percentage
Email – Primary contact email
Phone – Primary phone number
Website – Source URL
Job – Link to the parent research job
Lead Created – Whether a CRM lead was generated from this result
Filtering and searching¶
By confidence score¶
Use the Confidence filter to focus on results meeting a quality threshold:
High confidence (>75%) – Reliable data with strong evidence
Medium confidence (50-75%) – Usable data but some fields may be incomplete
Low confidence (<50%) – Limited data; manual verification recommended
Tip
For the best results when creating CRM leads, focus on results with confidence scores above 50%. The automatic lead creation in the deliver phase already applies this threshold.
By activity status¶
Filter results by their activity assessment:
Active – Focus on businesses that are currently operating
Unclear – Review these manually to determine if they are viable prospects
Inactive – Useful for specific campaigns targeting dormant businesses (e.g., web redesign services)
By job¶
Use the Job filter or group-by option to see results from a specific research job. This is helpful when comparing results across multiple research runs.
Result detail view¶
Click on any result to open its full detail form. The form contains the following sections:
Business information¶
Field |
Description |
|---|---|
Business Name |
The company name as extracted by the AI from the web page content. |
Primary contact email address. Multiple emails may be stored as comma-separated values. |
|
Phone |
Primary phone number extracted from the website. |
Website |
The source URL that was analyzed. |
Services |
A description of the services or products offered by the business, as extracted by the AI. |
Scoring information¶
Field |
Description |
|---|---|
Confidence Score |
A percentage (0-100%) indicating how confident the AI is in the accuracy of the extracted data. Higher scores indicate more complete and verifiable information. |
Activity Status |
One of |
Evidence |
The raw text and signals the AI used to make its scoring decisions. This field provides transparency into how the confidence score and activity status were determined. |
Creating CRM leads from results¶
There are two ways CRM leads are created from research results:
Automatic lead creation¶
If the Create Leads deliverable was enabled on the research job, leads are automatically created during the deliver phase for all results with a confidence score above 50%.
Each auto-created lead includes:
Lead name – The extracted business name
Contact email – From the result’s email field
Phone – From the result’s phone field
Website – The source URL
Description – The extracted services description and AI evidence summary
Source – Tagged with the UTM source “AI Research” for tracking
Tags – Tagged with “AI Research” for easy filtering in the CRM pipeline
Manual lead creation¶
For results where automatic lead creation was not enabled, or for results below the 50% confidence threshold that you still want to pursue:
Open the result detail form.
Click the Create Lead button in the form’s action bar.
Review the pre-filled lead form that opens.
Adjust any fields as needed (salesperson, sales team, expected revenue, etc.).
Click Save.
Note
The Create Lead button is only visible if a lead has not already been created for this result. If a lead exists, the CRM Lead smart button links to it instead.
Partner deduplication¶
When creating leads or enriching partners, the system checks for existing records to prevent duplicates:
Email matching – If a partner with the same email address already exists, the system links to the existing partner instead of creating a new one.
Website domain matching – If a partner with the same website domain exists, the system recognizes it as a potential match and can enrich the existing record.
Important
Deduplication is based on exact email matching and domain-level website matching. Variations in
email format (e.g., info@company.com vs contact@company.com) are treated as different
contacts.
Exporting results¶
To export results to CSV:
Navigate to .
Use filters to select the desired results.
Select the records using the checkboxes in list view.
Click Actions –> Export from the action menu.
Choose the fields to include and click Export.
If the Export CSV deliverable was enabled on the research job, a CSV file is also generated automatically during the deliver phase. This file can be downloaded from the completed job’s form view.