# OKR Studio

> OKR Studio is an AI-powered OKR management platform for SMEs and startups. Teams plan, track, and evaluate Objectives and Key Results with AI key-result validation, Slack check-in alerts, Jira and GitHub integrations, and an MCP server that connects Claude and other AI assistants directly to your OKRs. Built by Venueve AB. Support: support@okrstud.io.

## Product

- [Home](https://okrstud.io): AI-powered OKR management platform — plan, track, and evaluate Objectives and Key Results.
- [Features](https://okrstud.io/features): Feature overview: OKR cycles, check-ins, AI key-result validation, Slack alerts, and MCP server.
- [Pricing](https://okrstud.io/pricing): $9/month per active OKR contributor ($8 annual) with unlimited free viewers and stakeholders. Free plan available, plus a calculator comparing contributor, flat-rate, and per-seat pricing.
- [About](https://okrstud.io/about): About OKR Studio and the team behind it.
- [Support](https://okrstud.io/support): Support center with 30+ frequently asked questions about OKR Studio.
- [Trust](https://okrstud.io/trust): Security and compliance detail — EU-only Azure hosting, TLS 1.2+ in transit, encryption at rest, TOTP MFA with org-wide enforcement, per-organization data isolation, and an explicit list of what OKR Studio does not yet offer.
- [Blog](https://okrstud.io/blog): Articles on OKR best practices, team alignment, and goal management.

## Alternatives

- [Viva Goals Alternative](https://okrstud.io/viva-goals-alternative): OKR Studio as a Microsoft Viva Goals alternative after its retirement.
- [Lattice Alternative](https://okrstud.io/lattice-alternative): OKR Studio as a focused, affordable Lattice alternative for OKRs.
- [Workboard Alternative](https://okrstud.io/workboard-alternative): OKR Studio as a self-serve WorkBoard alternative for 50–500 person teams — start free, transparent pricing, one analysis-layer AI.
- [Tability Alternative](https://okrstud.io/tability-alternative): OKR Studio as a Tability alternative — adds AI key result validation, cycle-pace at-risk detection, and GitHub & Azure DevOps auto-progress.
- [Quantive Alternative](https://okrstud.io/quantive-alternative): OKR Studio as a Quantive alternative after the WorkBoard acquisition — export, rebuild your cycle, and be running again the same day without an enterprise migration.

## Guides

- [Make Okrs Stick](https://okrstud.io/guides/make-okrs-stick): How to make OKRs stick — practical guide for teams adopting OKRs.
- [Best Okr Tools 2026](https://okrstud.io/guides/best-okr-tools-2026): Honest comparison of the best OKR software in 2026 — nine platforms, the pricing model of each (flat-rate, per-seat, or per-contributor), and who each one fits.

## Integrations

- [Slack](https://okrstud.io/integrations/slack): Slack integration — check-in reminders and OKR updates where the team works.
- [Mcp Server](https://okrstud.io/integrations/mcp-server): MCP server — connect Claude, ChatGPT, Copilot, Cursor, and Glean directly to your OKRs. Runs the finalized 2026-07-28 MCP specification, stateless by default.

## Docs

- [Docs](https://okrstud.io/docs): Product documentation: getting started, OKR lifecycle, and integrations.
- [Introduction](https://okrstud.io/docs/getting-started/introduction): Introduction to OKR Studio.
- [Getting Started](https://okrstud.io/docs/getting-started/getting-started): Getting started guide.
- [Index](https://okrstud.io/docs/okr/index): OKR feature overview.
- [Cycle](https://okrstud.io/docs/okr/cycle): Working with OKR cycles.
- [Planning](https://okrstud.io/docs/okr/planning): Planning OKRs.
- [Check In](https://okrstud.io/docs/okr/check-in): Running OKR check-ins.
- [Evaluate](https://okrstud.io/docs/okr/evaluate): Evaluating and scoring OKRs.
- [Integrations](https://okrstud.io/docs/integrations/integrations): Integrations overview.
- [Jira](https://okrstud.io/docs/integrations/jira): Jira integration setup.
- [Github](https://okrstud.io/docs/integrations/github): GitHub integration setup.
- [Mcp](https://okrstud.io/docs/integrations/mcp): MCP server setup for AI assistants — API-key auth, stateless transport, and 2026-07-28 specification compliance.

## Blog

- [Grading a KR at Draft Time Is the Easy 20%. The Hard 80% Happens Mid-Cycle.](https://okrstud.io/blog/draft-time-grading-vs-in-context-kr-quality): Free KR graders are useful. But draft-time quality checks are a one-shot pass at a KR before the cycle starts. The failures that matter — drifting baselines, proxy metrics running ahead of real outcomes, targets that made sense in Q1 but don't in Q2 — show up mid-cycle, in context, when there's still time to do something about them.
- [When Building Gets Nearly Free, Goal Quality Becomes the Bottleneck](https://okrstud.io/blog/goal-quality-is-the-new-bottleneck): When AI agents collapse the cost of shipping software, bad OKRs stop being survivable. You reach the wrong outcome faster, not slower. The constraint has shifted from delivery to goal quality.
- [Every OKR Tool Now Predicts Risk. Almost None Can Show You the Math.](https://okrstud.io/blog/every-okr-tool-predicts-risk-none-show-their-work): When every OKR tool ships a risk flag, the differentiator isn't the prediction — it's whether you can explain it in a 30-minute review. Deterministic pacing beats a black box you can't interrogate.
- [Benchmarks Tell You Where You Rank. They Can't Tell You What to Fix This Cycle.](https://okrstud.io/blog/benchmarks-tell-you-where-you-rank-not-what-to-fix): Benchmarking tells you how you compare to a cohort. Mid-cycle course-correction tells you which of YOUR key results to rescue this week. These are different jobs.
- [Confidence Is Not Progress. Read Both Before Mid-Cycle Lies to You.](https://okrstud.io/blog/confidence-is-not-progress): If your OKR tool shows one progress number, you'll often find out too late that a key result was never as healthy as it looked. Read progress, pace, and confidence together at mid-cycle.
- [The MCP Stateless Spec Is Final. Here's What It Settles — and What It Doesn't.](https://okrstud.io/blog/mcp-stateless-spec-finalizes-connection-is-solved): The MCP 2026-07-28 RC — stateless core, no session handshake — is now final. That closes the infrastructure conversation for the whole category. It leaves the question that actually separates OKR tools unanswered.
- [AI Made You Faster. Your OKRs Say If It Mattered.](https://okrstud.io/blog/ai-made-you-faster-okrs-show-if-it-mattered): Marty Cagan calls it the AI Productivity Paradox: teams ship faster, results stay flat. The gap between the two is what a real key result measures, and what a disguised task list hides.
- [MCP Is Table Stakes. The Question Is What Your AI Does With It.](https://okrstud.io/blog/mcp-is-table-stakes-analysis-is-the-differentiator): OKRs Tool just moved its MCP server to every plan, including free. That reprices MCP from a paid feature to protocol-level plumbing. The question worth asking now: what does the AI do once it's connected — draft goals, or analyze a live cycle for what's slipping and why?
- [Pacing States Are Table Stakes Now. Here's How to Tell If Yours Is Real.](https://okrstud.io/blog/mid-cycle-is-table-stakes): The OKR category just aligned on 'leading, rising, coasting, at risk.' Whether the pace state under the hood understands cycle position — or just renamed a percent threshold — is the credibility test that separates real analysis from marketing copy.
- [GPT-5.6 vs Claude Fable 5: The Model Isn't What's Slowing Your OKRs](https://okrstud.io/blog/gpt-5-6-vs-claude-fable-5-okrs): GPT-5.6 and Claude Fable 5 are trading the coding crown by two points. Here's why that fight barely touches whether your OKRs survive the quarter.
- [14% vs 35%: AI for OKRs Should Analyze, Not Draft](https://okrstud.io/blog/ai-for-okrs-should-analyze-not-draft): OKRs Tool's new 14% vs 35% stat points to the next OKR-AI wedge: analysis after kickoff, not just drafting at the start.
- [Your OKR Tool Now Has 17 AI Agents. Your Team Needs One.](https://okrstud.io/blog/your-okr-tool-has-17-ai-agents-your-team-needs-one): OKR vendors now ship as many as 17 AI agents each. Counting agents is the wrong way to pick a goal tool. Here's what AI should actually do for your OKRs.
- [Connect Claude to Your OKRs (In Under 5 Minutes)](https://okrstud.io/blog/connect-claude-to-your-okrs-with-mcp): OKR Studio's MCP server lets Claude Desktop and Claude Code access your live objectives, key results, and progress data. Set it up in three steps.
- [Best Microsoft Viva Goals Alternatives in 2026](https://okrstud.io/blog/best-microsoft-viva-goals-alternatives-2026): Microsoft killed Viva Goals in 2025. Here are the best alternatives in 2026 - with pricing, migration steps, and what actually matters when choosing a replacement.
- [How I Got Focus Working with Claude Code Using OKRs](https://okrstud.io/blog/how-i-got-focus-working-with-claude-code-using-okrs): Claude Code can ship features faster than you can think of them. That speed became my biggest problem - until I started using OKRs to decide what actually mattered each week.
- [How to Write Measurable Key Results (With AI Help)](https://okrstud.io/blog/how-to-write-measurable-key-results-with-ai): Vague key results kill OKR programs. Learn how to write measurable outcomes - and how AI can help you create and validate them in seconds.
- [5 OKR Mistakes Killing Your Team's Focus](https://okrstud.io/blog/5-okr-mistakes-killing-your-teams-focus): OKRs are supposed to sharpen focus - but most teams use them in ways that create the opposite effect. Here are five mistakes you need to stop making today.
- [Why We Built OKR Studio](https://okrstud.io/blog/why-we-built-okr-studio): We didn't set out to build another OKR tool. We started with spreadsheets, then docs, then enterprise platforms. None of them worked. Here's why we built OKR Studio instead.
- [OKR Studio Is Now Generally Available](https://okrstud.io/blog/okr-studio-is-now-generally-available): After months of development alongside early adopters, OKR Studio is officially open to every team. Here's what's inside, why we built it, and how to get started in under 10 minutes.

## Optional

- [Privacy Policy](https://okrstud.io/privacy-policy): Privacy policy.
- [Terms Of Service](https://okrstud.io/terms-of-service): Terms of service.