QPM vs Runn: A Comparison for Teams That Need More Than a Capacity Forecast — a Realistic Delivery Plan

Runn is a very worthy tool for capacity planning and forecasting. QPM is a different logic: not a forecast at the level of hours and roles, but a deterministic calculation of when specific work will be done — accounting for skills, dependencies, Review Flow, and buffers.

Where Runn good

Runn positions itself as a tool that replaces scattered spreadsheets with a single view of capacity and resource plans — and it does that genuinely well. A visual drag-and-drop planner, real-time visibility into current workload and future availability, scenario modeling through tentative projects — all of it is implemented cleanly, with a low barrier to entry.

Runn particularly stands out in forecasting and capacity planning for IT and development teams. The financial layer is strong too: rates, billable vs. non-billable, budget burn, revenue and profit predictions — all in one place. Tentative projects let you model different scenarios and understand how confirmed work will affect future demand.

For companies where the key question is "can we take on new work, and how many people do we need" — Runn answers it cleanly and without excess.

Where the Real Line Between Runn and QPM Runs

Runn and Float solve a similar problem in different ways — and both share one structural limit: the unit of planning is an allocation, not a task.

Runn Operates on Hours and Roles, QPM — on Tasks and Skills

In Runn, you plan: "person X on project Y, N hours a week." The system will show whether someone's overloaded, forecast availability and budget. But the question "when will a specific task be done — accounting for task dependencies, review stages, and the actual sequence of work" is one Runn doesn't solve, because it doesn't operate on tasks at all. You need a separate task tracker.

In QPM, the task is the central unit of planning: estimate, dependencies, required skills, Review Flow. The people's schedule isn't an input — it's the output of the plan calculation (resource-constrained scheduling / critical chain).

Skill Matrix: Attributes for AI vs. a Core Element

In Monday, skills are attributes that AI uses to generate suggestions. The 2026–2027 roadmap includes custom resource attributes and placeholders for more precise planning. So the direction is right, but skills remain reference data.

In QPM, the skill graph is the foundation everything else is built on: assignment, planning, timeline calculation, and Review Flows. A valuable effect: the skill graph immediately highlights staffing gaps at the planning stage. If a task requires a skill nobody has; if the reviewer needs to be one level higher and no one at that level exists; or if there's only one person on a track with no possible reviewer — QPM flags this as a risk in advance. This helps identify exactly which skills are missing and makes an immediate case for expanding the team.

The Actual Completion Date: Runn Doesn't Calculate It — It Forecasts Capacity

Runn answers the question "does the team have the hours for this project next month." That's valuable for pipeline planning and staffing. But it doesn't answer "when will a specific iteration actually finish — accounting for task dependencies, review stages, vacations, and the real sequence of work."

QPM answers this directly: you connect tasks to an iteration, specify a start date — the system calculates a completion date with an explanation of the bottlenecks. Not "do people have the hours," but "when will the work actually be ready."

Replanning: Manual vs. Automatic

In Runn, changing plans is manual work: drag allocations around, redistribute hours. The system will show you the new workload picture, but the decision about what to move and how is yours to make.

In QPM, a change to the inputs — a new task, sick leave, a shifted estimate, someone leaving — automatically recalculates the entire plan and iteration dates. The system shows you the consequences instead of waiting for you to piece them together manually.

Review Flows: Runn Doesn't Have Them

Runn doesn't work with tasks — so review stages, configuring "who reviews and how long it takes," and auto-returning rejected work don't exist in it. Time for quality control is either baked in roughly as extra allocation hours, or not accounted for at all.

In QPM, a multi-stage Review Flow is part of iteration planning: each stage has an assignee by role or qualification level, its own duration, and all of it feeds into the final date calculation. A task can't move to "done" without passing every step. If rejected, it returns to the assignee or is automatically reassigned.

Buffers: Manual Padding vs. a Calculated Deadline Safeguard

In Runn, padding for uncertainty is added manually into project estimates or allocation hours.

In QPM, the buffer is calculated at the level of each task and only where it actually affects the deadline: on the critical path, for tasks that could realistically shift it. The result is a shorter deadline at the same level of reliability: not an inflated reserve just in case, but a precisely calculated timeline. This can be a winning strategy when quoting an estimate to a client. Buffers appear on the Gantt chart, recalculate dynamically, and show which tasks are consuming the reserve — before the deadline is actually missed.

Where Runn Is Objectively Ahead

Pipeline planning and scenario modeling. Tentative projects in Runn are a strong feature: you can model the impact of potential new work on the current team before the contract is even signed. QPM focuses on confirmed work within iterations.

The financial layer. Rates, billable vs. non-billable, revenue and profit predictions, budget burn — in Runn this is mature functionality, critical for agencies and consulting firms. In QPM, financial analytics isn't a core part of the product.

Time tracking. Timesheets in Runn "know" the plan and warn you when logged time doesn't match the schedule. A neat solution for reporting and estimate-vs-actual comparison.

Ease of getting started. Runn claims onboarding in under 10 minutes — and for teams that only need a workload picture on top of an existing tracker, it really is that fast.

QPM vs Runn: Direct Comparison

How to Choose

Runn is the right choice if you already have a task tracker your team is happy with, and you want to add clean capacity planning and financial forecasting on top of it. Agencies and consulting firms where understanding pipeline, billable utilization, and project margin is critical — Runn will meet that need well.

QPM is the right choice when the question isn't "do we have the hours next month," but "when will a specific iteration actually finish, and is the deadline realistic." Teams with complex task dependencies, multi-stage review, cross-disciplinary roles — game studios, product teams, outsourcing shops with strict contractual deadlines. Here you don't need a workload picture on top of a tracker — you need a system where tasks, people, and timelines live in one logic.

In short: Runn forecasts whether you have the resources. QPM calculates when the work will be done.

One Tool Instead of Two

A typical "Jira + Runn" stack is two paid tools, two separate data models, and manual syncing between tasks and hours. QPM covers both roles in one system, where tasks, resources, and timelines aren't synced — they're one and the same.