Dotwork vs Quantive
An enterprise OKR and strategy execution platform, formerly Gtmhub, acquired by WorkBoard in 2025.
Quantive brought data-connected OKRs to the enterprise and is now part of WorkBoard. Dotwork connects objectives to the funded work, cost, architecture and AI on one enterprise model.
At a glance
Strategy-to-execution
Quantive
Operating model
Dotwork
Often consolidated into Dotwork
Teams move the work onto the operating model and retire the separate tool.
The short version
What each is built for.
Quantive
Quantive, formerly Gtmhub, is an enterprise OKR and strategy execution platform known for connecting key results to live business data. WorkBoard acquired Quantive in 2025, and Quantive customers are moving to the WorkBoard platform.
- Running enterprise OKRs across many teams
- Updating key results automatically from connected business data
- Giving leaders insight into progress and alignment
- Fitting closely with the Microsoft ecosystem
Dotwork
Dotwork is an AI-native enterprise operating platform built on the Enterprise Operating Model: one live, graph-based model that connects strategy, capital, work, technology and AI across the enterprise. For OKRs and strategy execution, Dotwork connects objectives and key results to the funded work, budget, capability cost and architecture behind them.
- Connecting objectives and key results to the investments, budget and capability cost behind them
- Tracing strategy through funded work to the capabilities and applications it changes
- Keeping decisions, approvals and expected benefits as records beside cost
- Giving leaders one model across strategy, portfolio, technology cost, architecture and AI
The core difference
How Dotwork and Quantive approach the problem.
Quantive built enterprise OKRs around connected business data and is now part of WorkBoard. Dotwork holds OKRs in an enterprise operating model, where objectives connect to funding, capability cost, architecture and AI.
Context
Quantive holds context in objectives and the data feeds behind each key result. Dotwork holds it in a graph where objectives, investments, capabilities, applications and cost are linked records.
Decisions
Quantive supports decisions with data-backed progress and alignment insight. Dotwork supports them with investment scoring, benefits and capability cost on the same records as the objective.
Time
Quantive runs on OKR cycles with key results updated from data. Dotwork keeps plans, decisions and record history across planning cycles, so leaders can see how funding and priorities moved.
Change
Quantive customers are moving to WorkBoard. Dotwork starts from a reference Enterprise Operating Model, shapes it to the customer and connects existing systems.
Architecture and data model
Side by side.
Quantive made key results measurable by connecting them to business data, and that approach now continues within WorkBoard. Dotwork holds the enterprise in one model, where an objective links to the investments that serve it, the budget that funds them and the capabilities and applications they change. Capability cost comes from the model's allocation runs and is shown in Dotwork.
| Dimension | Quantive | Dotwork |
|---|---|---|
| Core model | Enterprise OKR platform with data-connected key results | Graph-based Enterprise Operating Model spanning strategy, portfolio, cost, architecture and AI |
| Objectives and key results | OKR alignment and scoring, with key results fed from business data | OKR views with key-result measures, score distribution and the investments that serve each objective |
| Funding and cost | Financial measures can feed key results | Objectives connected to budget, funded investments and allocated capability cost |
| Architecture and AI | Outside its main focus | Capabilities, applications and AI assets on the same model as the strategy they serve |
| Product direction | Customers moving to WorkBoard following the 2025 acquisition | Enterprise Operating Model extended by each customer |
The role of AI
Where the AI gets its context.
Quantive applied AI to goal setting and progress insight. Dotwork applies AI across a connected operating model, so questions about objectives can reach funding, cost and architecture.
Quantive
Quantive offered AI assistance for drafting OKRs and analyzing progress. Its customers now move to WorkBoard, which offers AI agents for leaders and managers.
Dotwork
Dotwork's assistant answers questions across the whole model, so one question can run from an objective to the investments, capability cost, architecture and AI spend behind it. Chat agents can create and update Dotwork records with optional human review, and an MCP server exposes the model to outside AI tools. These AI features are enabled per site, and Dotwork's agents change Dotwork records only.
A fair comparison
Where Quantive is strong — and where Dotwork is different.
Where Quantive is strong
- Key results updated from connected business data rather than by hand
- Enterprise-scale OKR alignment across many teams
- Close fit with the Microsoft ecosystem
- A clear migration path to WorkBoard for existing customers
Where Dotwork is different
- Objectives connect to the funded work, budget, capability cost, architecture and AI on one model
- Investment scoring and ranking, with benefits, NPV, IRR and payback tracked beside cost
- Decisions, approvals and expected benefits kept as records next to the funding they move
- Starts from a reference Enterprise Operating Model that the customer shapes and extends
- AI that works across the whole model, with MCP access for outside AI tools
Choosing
Which fits your situation.
Choose Quantive when
- You want continuity with Quantive through the WorkBoard platform
- Your priority is OKR adoption and cadence across a large workforce
- You do not need cost, funding or architecture in the same model as goals
Quantive customers that want to keep an OKR and strategy execution approach close to what they have today will find the most continuity in WorkBoard.
Choose Dotwork when
- You are re-evaluating your OKR tool after the Quantive acquisition
- You need OKRs connected to budget, funded work and capability cost
- Portfolio, finance and technology leaders need one shared model of strategy and spend
Dotwork fits enterprises reviewing their OKR tool that want objectives held in the same model as investment, capability cost and architecture.
The bottom line
Choose Dotwork when you want to connect the enterprise across systems and silos — with a lower total cost of ownership.
One operating model across strategy, capital, work, technology and AI, instead of another tool to integrate, reconcile and maintain alongside Quantive.
FAQ
Questions buyers ask.
Is Quantive still available?+
WorkBoard acquired Quantive in 2025, and Quantive customers are moving to the WorkBoard platform. Check current availability and timelines with WorkBoard.
Can we move our Quantive OKRs into Dotwork?+
Yes. Objectives and key results can be loaded into Dotwork as records, for example with its bulk CSV import, and then linked to the investments and capabilities they depend on.
Can Dotwork and Quantive be used together?+
They can, but they overlap on OKRs, and Quantive itself is moving into WorkBoard. Teams that run OKRs inside Dotwork often retire a standalone OKR tool at a moment like this.
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