Is your software team drowning in meetings, spreadsheets, and disconnected tools?
You’re not alone. Most teams using traditional project management software—especially Jira—spend more time maintaining the system than actually shipping value.
We wanted to see whether Project Simple AI lives up to its promise: “Quality Software Development — Out of the Box.”
Can it really give engineering leaders real-time insight into where the time and money are going, forecast delivery with AI, and Zencastr et Podcastle sont tous deux conçus pour les podcasteurs. Ils offrent un enregistrement audio de haute qualité, la collaboration à distance avec les invités et des outils de postproduction pour optimiser votre flux de travail. multi-team planning effortless?
In this Project Simple AI review, we break down its new platform.
We will look at its AI-driven features, like predictive analytics and unified workflow, to answer one key comment utiliser Copper CRM.
Is Project Simple the game-changer that finally makes complex software delivery… simple?
Read on to find out if it’s the right choice for your team in 2025.
Want to boost team efficiency by 125%? Project Simple AI promises to increase your Quality metrics by 2.2X. Stop guessing. Request a demo now to see how Project Simple AI delivers value.
What is Project Simple AI?
Project Simple AI isn’t just another project tracker.
It’s a full product-delivery platform built around a modern Product Operating Model.
Where legacy tools like Jira require layers of plugins, scripts, and consultants to get useful insights, Project Simple works right out of the box—no setup, no configuration maze.
It connects goals → features → epics → stories in a single top-down hierarchy, aligning daily work with strategic outcomes.
The result?
Your roadmap, backlog, and analytics all speak the same language.
At its core, Project Simple AI uses machine learning to forecast delivery dates, detect bottlenecks, and surface hidden work—so leaders can make confident, data-driven decisions in real time.
You can easily set up an account on their site.
It is built to support your work and make your work life easier.
Who Created Project Simple AI?
Project Simple was founded by Alex Polyakov, an engineer-entrepreneur who spent years frustrated by the fragmentation of modern dev tools.
He designed Project Simple around one core belief:
Software teams shouldn’t need consultants or custom dashboards just to understand how they’re performing.
Since its 2021 launch, the platform has evolved into a complete, AI-driven ecosystem for product and engineering management—adopted by organizations seeking to unify strategy, delivery, and analytics.
Key Benefits of Project Simple AI
- Zero ConfigurationEverything works immediately after signup. No need to hire Jira admins or build complex workflows. You get a ready-to-go environment that follows best practices out of the box.
- Real-Time TransparencyEvery stakeholder—from developer to VP—sees progress, risks, and delivery forecasts live, without waiting for reports or standups.
- Predictability & Forecasting AI continuously learns from your team’s historical performance and work patterns, projecting realistic timelines and surfacing risk factors early.
- Quality-Driven DeliveryIntegrated quality dashboards expose bug trends, tech-debt ratios, and “bug waterline” thresholds—helping teams keep product health visible at all times.
- Unified Product ModelGoals, features, epics, and stories live in one product hierarchy, enabling cross-team visibility and eliminating dependency chaos.
- All Tools IncludedAnalytics, sprint reviews, backlog metrics, forecasting, team health, and AI insights are built in—no add-ons or external dashboards needed.
Best Features of Project Simple AI
Project Simple AI was built to fix what’s broken in modern software delivery — the endless setup, disconnected Daten, and lack of real insight.
Every feature combines AI-driven intelligence with human-centered simplicity, giving teams a system that works the moment they sign in.
It’s the ideal balance between structure and flexibility — powerful enough for complex organizations, yet effortless for fast-moving teams.
You don’t need to configure it. You just start using it — and sofort see the difference.
1. Project Dashboards
Most dashboards show charts. Project Simple’s – tell stories.
In Project Simple, dashboards are living systems — not static reports.
They unify goals, backlogs, quality metrics, and delivery data into a single, real-time view that updates as the work unfolds.
You don’t just see what’s happening; you understand warum it’s happening — where flow breaks down, where risks emerge, and where effort isn’t turning into progress.
Leaders can see the entire delivery picture — across products, teams, and milestones — without building custom reports or maintaining spreadsheets.
It’s visibility without the overhead, and clarity that turns into action.
2. Roadmaps and Goals
In most tools, goals live in slides while the real work happens somewhere else.
Project Simple changes that.
It connects high-level company objectives directly to the daily work of your teams, creating a clear line from strategy to execution.
Roadmaps update automatically as teams deliver, giving every stakeholder a live view of progress and priorities.
The result? Everyone knows exactly what they’re working toward — and why it matters.
3. AI Forecasting
Most tools tell you what happened; Project Simple tells you what’s about to happen.
The AI Forecasting Engine continuously learns from your team’s real metrics — cycle time, throughput, discovered work, and flow patterns — to project realistic delivery timelines.
No spreadsheets, no guesswork — just a living forecast that adjusts as your team moves, giving leaders true visibility into what’s coming next.
4. Backlog Analytics
Most teams have no real visibility into their backlog.
Over time, it becomes a mix of ideas, tech debt, bugs, and forgotten requests — with little sense of where the work came from or whether it’s still relevant.
Jira can list those items, but it can’t explain their composition or context.
Project Simple’s Backlog Analytics gives teams the missing visibility.
It breaks down the product by age.
Teams can see which items are outdated, which areas generate most of the work, and where focus is being lost.
The value is practical and immediate: it turns a cluttered backlog into an understandable, manageable system.
Leaders can make confident prioritization decisions because they finally know what their teams are carrying — and why.
5. Item Analytics
Project Simple’s Item Analytics gives teams a complete, data-driven view of how each piece of work moves through delivery.
Instead of a static ticket view, it breaks down the item’s cycle time by task type, the percentage of discovered work, and a full status-by-time histogram that shows exactly where progress slows or accelerates.
This level of visibility helps teams understand how und warum an item took the time it did — which stages caused delay.
Where hand-offs occurred, and how much additional work was uncovered along the way.
The result is a transparent record of delivery performance at the most granular level, giving engineers, PMs, and leaders the same factual view of effort, complexity, and flow efficiency.
6. Sprint Reviews
In most teams using current tools, sprint reviews are just status meetings.
In Project Simple, sprint reviews are part of a complete learning system — automatically combining real-time analytics, retrospectives, and performance insights into one cohesive view.
When a sprint ends, Project Simple automatically brings together everything that matters:
- What was delivered versus planned
- Flow efficiency, predictability, and discovered work
- Team sentiment and qualitative feedback
You don’t need to prepare slides or gather data — it’s all already there, connected and visual.
Your team can focus on learning, not logistics — understanding warum outcomes happened, what patterns are forming, and how to improve next time.
It’s not a meeting.
It’s a continuous feedback loop — powered by data, grounded in reflection, and designed to make every sprint better than the last.
7. Sprint Analytics
Sprint Analytics in Project Simple reflects its founder’s philosophy: teams don’t need more charts — they need clarity.
Instead of focusing on velocity or burndown, this feature uncovers how a team truly operates.
It breaks down the composition of work, where time was spent, and how much emerged unexpectedly during the sprint.
What makes it different is intent.
Sprint Analytics isn’t built to score performance; it’s built to reveal friction — the hidden patterns, interruptions, and bottlenecks that silently slow delivery.
It gives leaders and teams a shared view of what’s really happening, so conversations shift from why didn’t we finish? to what’s getting in our way, and how do we fix it?
8. Retrospectives
Most teams still run retros in scattered tools — Miro boards, Confluence pages, or chat threads — and whatever’s discussed is lost as soon as the meeting ends.
The insights don’t connect to delivery data, and patterns repeat.
Project Simple brings retrospectives into the same space where work happens.
Each session starts with real context from Sprint Analytics — what kinds of work dominated, where time was lost, and what new work appeared.
Teams can capture notes, assign improvements, and link follow-ups directly to the next cycle.
When the meeting ends, feedback becomes anonymous, ensuring everyone can speak openly without the social filter.
Nothing disappears or gets buried — insights stay connected to the data andare visible for follow-up.
In Project Simple, retros aren’t just another meeting.
They’re a continuous learning loop — grounded in data, safe for honest input, and built into the way teams improve.
9. Bug Waterline and Quality Gates
In most tools, bugs, support tickets, and tech debt all live in the same backlog — mixed in with feature work until they disappear under the noise.
Teams can’t see where quality is slipping or which issues truly matter most.
Project Simple solves that with Quality Gates — dedicated backlogs for Bugs, Support Cases, and Technical Debt.
Each category is tracked and visualized independently, so teams can clearly see their top priorities and how each area is trending over time.
Nothing gets buried, and quality work finally has structure.
At the center of it is the Bug Waterline — a visual threshold showing when defects start to consume too much of a team’s capacity.
It’s the early warning sign that quality is beginning to drag delivery down.
Together, these tools give teams a clear, data-backed way to balance product growth with product health.
Leaders can see exactly where the system is leaking quality, and teams know what to fix first — before it becomes a crisis.
10. Team Health Check
Healthy teams build healthy products — but most tools only measure hard data points.
Team Health Check adds the missing human signal.
It gives your team a safe, anonymous way to share how they’re feeling and where friction exists.
Leaders get early visibility into burnout, stress, or disengagement — long before it shows up in missed sprints or turnover.
It’s how Project Simple keeps the human side of delivery visible, measurable, and cared for.
11. ToDo’s
Not all work lives in your sprint — and that’s where most teams lose predictability.
Project Simple’s ToDo’s feature captures every small, unplanned activity that usually disappears into chat threads or “quick fixes.”
By tracking this invisible work separately, you gain full visibility into where your team’s time is actually spent — and why delivery keeps slipping in other tools.
It’s how Project Simple helps teams focus on what truly matters while understanding everything that quietly competes for their time.
12. Story Poker
In most teams, estimation is chaotic — scattered across whiteboards, plugins, spreadsheets, and chat threads.
None of it stays consistent, and almost none of it connects back to real delivery data.
Project Simple solves this by building Story Poker directly into the platform.
It provides a single, integrated space where teams can discuss and size work — whether together or asynchronously — through a light, gamified experience that feels more like collaboration than ceremony.
The result is a planning process that’s finally cohesive: teams stay aligned, data stays connected, and estimation becomes something people actually enjoy.
Preise
Project Simple AI offers three main plans to fit different team sizes and needs. All plans are billed per user, per month.
They all include a 14-day free trial, so you can test the platform before you commit.
The prices below are based on an annual subscription.
| Plan Tier | Am besten für | Price (Per User/Month) |
| Team | Small teams and startups. | $8 |
| Geschäft | Mid-size businesses with multiple teams (Most Popular). | $12 |
| Unternehmen | Large organizations needing high-level security and complex integrations. | Vertrieb kontaktieren |
Il s’agit d’un modèle d’image IA open source qui peut être personnalisé et exécuté sur votre propre matériel ou accessible via divers services.
As with anything else, it’s important to look at both sides of the coin to decide if the product is right for your team.
Pros
Nachteile
Alternatives to Project Simple AI
If you are looking for a different project management tool with strong AI features, here are the top platforms that compete with the PRODUCT:
- Vorstellung: Best for knowledge and note-taking teams. It unifies project management with a powerful knowledge base. Its AI can summarize documents and auto-generate Besprechungsnotizen.
- Wrike: Great for large-scale projects and handling complex needs. Its AI is strong at risk management, predicting delays, and streamlining Berichterstattung.
- ClickUp: Known as an all-in-one workspace that replaces many tools. It offers deep customization and uses its AI to answer questions about your projects instantly.
- Eingesackt: A solid option for simple, real-time collaboration. It supports multiple project views and has an AI assistant for managing routine tasks and schedules.
- Montag: Offers a highly visual and colorful interface. It uses “AI blocks” to easily automate and customize unique workflows for any team.
- Asana: Excellent for goal tracking and cross-functional teams. Its AI provides smart recommendations and drafts status updates to keep executives informed.
- Lufttabelle: Best for data-centric teams who like a spreadsheet feel. It uses a flexible, no-code database that you can customize to build your own custom project system.
- Es gibt: The industry standard for software development and Agile teams. It provides deep, powerful tools for bug tracking, Scrum, and highly detailed ticket management.
Personal Experience with Project Simple AI
My team faced a classic problem: we were using too many tools, and it caused major confusion.
We wasted hours compiling status reports and trying to predict delays.
We chose to move to Project Simple AI to get one unified system.
The platform was super easy to set up. It almost felt like cheating compared to our old setup.
We immediately started seeing the results we wanted.
By using the system’s smart features, we reduced reporting time and gained instant clarity on project health.
Here is how the features helped us hit our delivery goals:
- Roadmaps and Goals: This feature helped us set clear project goals. Every activity was tied directly back to the main objective.
- Project Dashboards: We could easily share our progress with stakeholders. This gave management full visibility and reduced the lack of transparency we had before.
- Team Health Check: We were able to connect with the team to understand their morale better. This reduced team frustration right away.
- Story Poker: This made estimation fun, and we started improving the accuracy of our sprint planning. The team actually seemed to enjoy the process.
- ToDo’s: We separated small, disruptive things from our main sprint work. This helped us maintain focus on the main product.
- Sprint Reviews: The platform made our review process faster by providing all metrics in one place, ready for use. We could focus on action items.
- AI Risk Forecasting: The AI helped us spot and avoid major risks. This was the single biggest impact on keeping our project on time.
Abschließende Gedanken
Project Simple AI is not just another AI project tool.
It’s a GPS for Software Delivery—combining predictive intelligence, quality analytics, and a fully aligned product structure in one cohesive experience.
For leaders asking, “What are we getting for our $5 million in engineering spend?”
Project Simple provides the answer—instantly.
If your teams are buried under Jira configs, manual reports, or fragmented workflows.
This platform will feel like a breath of fresh air.
Häufig Gestellte Fragen
Is Project Simple meant to replace Jira?
Eventually, yes — but on your own terms. Project Simple was designed for two kinds of teams:
Those ready to start fresh with a clean, intelligent workspace, and those who need to bridge out of Jira gradually. If you already run everything in Jira, you can connect it to Project Simple through our bi-directional sync. That way, your data, sprints, and goals stay aligned in both systems — no disruption, no double work. You can start using Project Simple as your single source of truth, while teams continue working in Jira until they’re ready to switch fully. Over time, most organizations discover they don’t need Jira’s overhead anymore. When the insights, forecasts, and collaboration all happen in one place — without the maintenance, add-ons, or admin drag — the transition becomes obvious. That’s how Project Simple helps teams evolve from integration to independence — moving from a tool stack that slows them down to platform that helps them deliver with speed, clarity, and confidence.
What makes its AI different?
Most “AI for project management” tools just sit on top of your data — they summarize tickets, rewrite updates, or guess at productivity. Project Simple’s AI does something entirely different: it generates its own data. Because the platform is built around a Product Operating Model, it captures delivery signals that other tools don’t even measure — things like flow efficiency, discovered work, predictability, bug waterline, and actual throughput consistency. That data becomes the foundation for high-fidelity forecasting and real-time risk detection.
So instead of generic advice like your team looks less productive this week, Project Simple can tell you why — maybe discovered work spiked, maybe focus time dropped, maybe cycle time broke pattern. It doesn’t hallucinate insight — it observes it, learns from it, and helps you course-correct before it becomes a problem.
Does it integrate with other systems?
Yes—Project Simple provides open APIs and, for Enterprise plans, bi-directional sync with Jira, GitHub, and Slack.
Is it only for developers?
No. Product managers, engineering leads, and execs use the same dashboards—so strategy, execution, and outcomes stay connected. Project Simple AI brings clarity, predictability, and focus to software delivery—without the noise.
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