To guide admins through creating and configuring workspaces in DiligenceGPT. This includes understanding what a workspace is, setting up Deal Fit to define your thesis, and creating additional workspaces when needed.
What is a Workspace?
A workspace is the central environment in DiligenceGPT where deals are organized, evaluated, and tracked. Each workspace represents a single investment thesis or strategy, meaning that all deals, scores, and reports within it are evaluated using the same criteria. This structure ensures consistency across the diligence lifecycle and makes reporting and portfolio tracking meaningful.
When you start a trial, you create your first workspace by giving it a name and selecting a workspace type. Workspace types define the context in which deals are sourced, reviewed, and evaluated. For example, a workspace might represent a venture fund, an accelerator program, an angel investor network, or an event such as a conference or pitch competition. Choosing the right workspace type helps ensure that workflows, evaluation standards, and scoring align with your organization’s specific investment strategy.
Once you enter the platform, configure your workspace thesis through Deal Fit. Deal Fit defines what a “good fit” looks like for the startups you plan to evaluate.
Configuring Deal Fit ensures every deal added to the workspace is evaluated consistently and objectively. It provides a clear, structured approach to scoring, reporting, and pipeline management, helping your team make informed decisions.
Workspace types define the context in which deals are sourced, reviewed, and evaluated. Selecting the correct type helps ensure workflows and expectations align with your activity.
Pitch Competition: Designed for competitive events where startups are evaluated and compared within a defined timeframe.
Hackathon: Supports rapid intake and review of early-stage ideas or prototypes emerging from hackathons.
Innovation Challenge: Used for themed or problem-focused initiatives that attract startups solving specific challenges.
Accelerator: Structured around cohorts with defined milestones, reviews, and program timelines.
Incubator: Supports longer-term startup development with flexible evaluation and ongoing mentorship.
Grants: Used to review and track non-dilutive funding opportunities.
Debt Financing: Designed for evaluating companies seeking loans or other debt-based instruments.
Venture Capital Fund: Tracks investments across multiple stages, sectors, and diligence phases.
Angel Groups: Supports collaborative deal review, discussion, and scoring among individual investors.
Not Applicable: Used when a workspace does not fit a predefined structure but still requires deal tracking.
As your organization grows, you may need more than one workspace. Different programs, funds, or initiatives often have different evaluation criteria, and each strategy should live in a separate workspace to keep scoring meaningful and consistent.
Separate workspaces help you:
Maintain independent Deal Fit configurations for different strategies
Ensure scores and reports remain accurate and comparable
Keep diligence workflows and reporting organized
Workspace Admins can create additional workspaces directly in the platform. Each new workspace allows you to:
Set a new name and type
Configure Deal Fit criteria specific to that strategy
Track deals separately for clear reporting and workflow consistency
Why Setup Matters Before Adding Deals
Proper workspace setup is key to getting the most out of DiligenceGPT and ensuring your deals are tracked and evaluated correctly:
Deal Fit Score Settings – these directly power the Deal Fit Score report. If they’re not configured correctly your deal insights can be misleading.
Pipeline categorization – deals need to be tagged and grouped properly so the platform shows them in the right pipeline stages.
Evaluation workflows – set up scoring and review processes in DiligenceGPT so every deal is assessed consistently.
Reports & dashboards – your Deal Fit Score, pipeline summaries, and other dashboards depend on these settings to reflect accurate data.
Team collaboration – a correctly configured workspace ensures your team sees the same deal info and avoids miscommunication.
Setting up your workspace correctly from the start saves time and prevents errors as the deal pipeline grows.