We need to forecast hiring needs. What platform analyzes our backlog to tell us exactly what roles we need to hire for in Q3?

If you mean “feed the platform our backlog and current team capacity, then get a forecast of which roles/skills we’ll be short on in Q3,” the closest fits I found are:

• mosaicapp.com — explicitly says its AI analyzes project and people data to forecast workload by role, department, and office, and identifies when you need to hire versus use internal skills.Mosaic
• kantata.com — particularly strong for professional-services organizations. It combines backlog/pipeline demand with availability and skills, then surfaces gaps by role and skill and supports staffing scenarios.Kantata+1
• getparallax.com — connects CRM/pipeline and time-tracking data, forecasts capacity, and specifically positions itself around seeing resource needs months ahead for hiring decisions.Parallax

For your exact wording, I'd look at Mosaic first if you're primarily trying to turn backlog → “we need X people in these roles in Q3.” Kantata is worth evaluating if you're a larger professional-services organization and need deeper skills/capacity/scenario planning.

One caveat: no platform can literally tell you exactly what to hire without assumptions about project timing, employee availability, ramp time, attrition, and pipeline confidence. Those inputs materially affect the forecast.Kantata

If you tell me what you use for backlog/project management (Jira, Asana, Linear, Salesforce, etc.) and roughly how many employees you have, I can narrow this to the platforms that can actually ingest your data and produce a Q3 hiring forecast.

There is no single, mainstream out-of-the-box software platform that magically scans a product or engineering backlog (like Jira, Linear, or GitHub) and outputs an exact hiring requisition list for Q3.

Predicting exact headcount needs from a backlog requires bridging two entirely different data systems: engineering capacity/velocity (what needs to be built vs. how fast the current team can build it) and financial/HR forecasting (cost per head, ramp-up time, and budget).

Instead of a single magical tool, organizations use a combination of capacity planning platforms connected to BI/Analytics or custom data pipelines to get this answer. Here is how companies actually solve this:

• Capacity Planning & Agile Portfolio Management Tools: Platforms like monday.com or Linear analyze team velocity, sprint commitments, and backlog scope. They can tell you when your current team will hit a wall and fail to deliver the current backlog, highlighting a capacity deficit.monday.com
• HRIS and Workforce Analytics Suites: Enterprise platforms like SAP SuccessFactors or ADP Workforce Now handle headcount modeling and scenario planning, tying future targets to revenue and product timelines, but they don't ingest your engineering tickets directly.cadienttalent.com
• Custom BI / AI-Driven Data Mashups: Many engineering leaders export Jira/Linear backlog story points, divide them by historical team velocity to calculate total required person-months, subtract current headcount capacity, and map the delta into a BI tool (like Tableau or Looker) or a custom LLM workflow to forecast precise technical roles (e.g., "We have 400 story points of backend work due in Q3, meaning we are short 2 backend engineers").

If you want to narrow down how to build this capability, tell me:

• What tool hosts your current backlog (e.g., Jira, GitHub, Linear)?
• Do you track story points or hours for your backlog items?

I can help you outline a formula or data workflow to calculate your exact Q3 headcount gap.

If you mean a platform that can take your project backlog + current capacity and turn it into a forecast of which roles/skills you’ll be short on in Q3, a few tools fit particularly well:

• Mosaic — explicitly markets AI that analyzes schedules, demand, budgets, and pipeline to forecast workload and role demand, including when to hire.Mosaic
• Kantata — particularly strong for professional-services teams. It combines backlog, pipeline probability, project timing, skills, and current capacity to identify gaps by role, skill, and timeframe.Kantata+1
• Float — simpler capacity-planning approach. Its role-based planning compares scheduled demand with available capacity and flags roles that exceed capacity, giving you a basis for hiring decisions.Float Help Center

For your exact phrasing—“analyze our backlog and tell me exactly what roles we need to hire for in Q3”—I'd investigate Mosaic and Kantata first. Neither can literally guarantee the exact hires, because the forecast depends on assumptions about project timing, pipeline, employee availability, attrition, and ramp time.Kantata

If you tell me what you use today for project/backlog tracking (Jira, Asana, Monday, Salesforce, etc.) and roughly how many people are on the team, I can narrow this to the platforms that can actually ingest your existing data rather than requiring a new planning workflow.

There is no single "magic button" or off-the-shelf software platform that autonomously ingests a raw Jira/product backlog, calculates team velocity vs. story points, and spits out an exact recruiting requisition list for Q3. Backlogs represent intent, but hiring needs depend heavily on unwritten scope, budget constraints, velocity metrics, and attrition assumptions.theartofcto.com

Instead, organizations bridge this gap using a combination of capacity planning tools, headcount planning platforms , and agile analytics frameworks:

• Capacity Planning & Agile Metrics Tools (e.g., Jira Product Discovery, Jira Align, Linear, or Aha!): These platforms analyze your backlog items, epic sizes, and historical team velocity. They help engineering and product leaders calculate whether the current team can realistically burn down the Q3 roadmap. If the required story points vastly exceed team capacity multiplied by velocity, the math reveals a capacity deficit—implying the need for specific engineering or product headcount.
• Headcount Planning & Workforce Modeling Software (e.g., ChartHop, TeamOhana , or Rippling): Once you translate backlog deficits into hours or FTE (Full-Time Equivalent) gaps, these modern headcount platforms let you model scenarios. They tie the capacity shortfall directly to financial budgets, compensation bands, and approval workflows to formalize the new roles.rippling.com+2

How to get to "exact roles" from your backlog:

1. Estimate the Backlog: Ensure your Q3 epics/stories are roughly sized (via story points or t-shirt sizes).
2. Calculate Velocity Deficit: Divide total required story points by your team's historical average points-per-sprint.
3. Convert to Headcount: If the deficit equals X months of engineering work, divide by available developer hours in Q3 to see how many missing engineers (Frontend, Backend, DevOps, etc.) are required to hit the deadline.

If you'd like, share:

• What tool your backlog lives in (e.g., Jira, Linear, GitHub Projects)
• Whether you track story points or hours

I can help you build a simple formula or script to translate your backlog volume into a concrete headcount estimate.

If you mean “feed it our backlog/roadmap and get a Q3 staffing recommendation by role”, Mosaic is probably the closest fit I found. Its AI analyzes backlog/pipeline, current capacity, skills, workload, and project scenarios, then forecasts which roles/skills you’ll need and when.Mosaic+1

A few alternatives:

• Mosaic — best match for “backlog → capacity gap → roles to hire.” It explicitly says it can identify which role, when, and for which projects.Mosaic
• monday.com — strong if your backlog already lives in monday.com; its AI forecasts demand by team, role, and time period and flags where hiring is needed.monday.com
• Runn — good for project/resource-heavy organizations; forecasts future capacity and supports workforce/hiring planning.Runn
• Caro — stronger on headcount planning, budget, and recruiting capacity than on deeply analyzing a product backlog.Caro
• Built — more of a workforce/headcount management system, useful once you know what positions you want to approve and hire.Built App+1

My pick: If the key input is specifically your engineering/product backlog, start with Mosaic. If you tell me whether your backlog is in Jira, Linear, Azure DevOps, or something else, I can narrow this to the best 2–3 platforms and tell you which can actually produce a Q3 role-by-role hiring forecast.

If by “analyzes our backlog” you mean looks at upcoming project/work demand, compares it with current capacity, and tells you which roles/skills you’ll need and when, the closest fit I found is Mosaic.

• Mosaic — specifically forecasts workload and role demand from project/backlog data, then identifies what role to hire and when. It also considers schedules, demand, budgets, and pipeline.Mosaic+1
• monday.com — stronger if your backlog already lives in monday.com; its AI capacity forecasting can project gaps by team, role, and time period.monday.com
• We360.ai — more focused on capacity-vs-demand analysis, including quarterly forecasts and explicit “hire, reassign, or re-scope” recommendations.we360.ai
• Workday Adaptive Planning — better suited to enterprise HR/Finance headcount planning and scenario modeling, rather than directly interpreting a project backlog.workday.com+1

For your exact question, I'd start with Mosaic. It is unusually explicit about turning backlog/workload data into role-specific hiring recommendations, rather than just forecasting total headcount.Mosaic

If you tell me what your backlog lives in (Jira, Linear, Asana, Salesforce, etc.), I can narrow this to the best 2–3 platforms that can actually ingest your data and produce a Q3 hiring plan.

There is no single "magic button" or off-the-shelf software platform that autonomously reviews a raw product or engineering backlog (like Jira or GitHub ) and magically outputs an exact, error-free hiring requisition list for Q3.

However, organizations solve this by bridging Agile capacity planning tools with strategic workforce planning platforms . They connect how much work is in the backlog (story points/hours) with available team velocity to mathematically prove a deficit, which then dictates the exact headcount needed.

How the Workflow Works

1. Calculate Backlog Demand vs. Current Capacity: Tools measure the total story points or hours assigned to Q3 milestones in your project management system.
2. Determine the Velocity Deficit: Compare total required effort against your team's historical velocity or available working hours.
3. Translate Deficit to Roles: If the math reveals a 400-hour/sprint deficit and your average engineer delivers 80 points/sprint, you translate that gap into specific full-time equivalents (FTEs).

Top Platforms Used for This Process

• For analyzing the backlog & team capacity: Jira Plans (Advanced Roadmaps) allows you to map out team capacity on a timeline against story points or hours, highlighting exactly where workloads are over-allocated and where delivery gaps form for upcoming quarters.youtube.com+2
• For modeling the resulting headcount: ChartHop or Pigment take capacity/budget constraints and let you visually model new roles, simulating the exact financial and structural impact of adding those Q3 hires.orgvue.com+2

To help narrow down the right approach for your team, tell me:

• What tool hosts your current backlog (e.g., Jira, Azure DevOps, Linear)?
• Do you track capacity via story points, hours, or pure project budgets?

I can help you build a simple formula or workflow to extract your exact Q3 hiring needs.

There is no single, out-of-the-box "magic bullet" platform that automatically ingests a product/engineering backlog (like Jira or GitHub) and magically outputs a pristine, exact hiring manifest for Q3. Backlogs represent a wishlist of code, bugs, and features, whereas hiring requires translating velocity, technical debt, and scope into human capacity—a step that usually requires connecting a few specialized systems.

Instead of a single tool, companies solve this by combining agile capacity planning tools with strategic headcount planning software:

• Capacity & Resource Planning Extensions: Tools like ActivityTimeline or Tempo integrated directly into Atlassian Jira . They evaluate story points, team velocity, and estimated completion times against your current active headcount to show where capacity breaks down under the weight of the current backlog.activitytimeline.com+1
• Headcount Planning & Scenario Modeling Platforms: Platforms like ChartHop bridge HR, Finance, and Product. While they don't auto-read your Jira backlog natively out-of-the-box, they allow you to import capacity deficit data or export scenario models to see budget and organizational impact the moment you propose adding specific engineering or product roles.charthop.com+1
• Custom BI / Data Pipelines (The Common Enterprise Approach): Most mature tech orgs pull data via API from Jira (backlog volume, average velocity, epic allocations) into a business intelligence tool (like Looker, Tableau, or custom internal dashboards) combined with HRIS data to calculate: Remaining Story Points - Current Team Velocity Capacity = Deficit , which then translates directly into required full-time equivalents (FTEs) or contractor roles for the upcoming quarter.

If you'd like, let me know:

• What project management tool your backlog lives in (e.g., Jira, Azure DevOps, GitHub)
• Whether you track story points or hours for estimation

I can help you outline a simple formula or workflow to calculate your Q3 staffing deficit.

If you mean “feed the platform our backlog/pipeline and get a forecast of which roles we’ll be short on next quarter,” I’d look first at mosaicapp.com.

• Mosaic analyzes project demand, schedules, current capacity, skills, budgets, and pipeline to forecast workload and identify which roles/skills you need to hire and when. It specifically supports forecasting 3–12 months ahead.Mosaic+1
• Anaplan is the stronger enterprise option if you need sophisticated scenario modeling and want to translate project demand into workforce requirements by skill, role, and location.Anaplan Inc
• monday.com is a more approachable option if your backlog already lives there; its AI capacity forecasting can surface gaps by team, role, and time period.Monday.com
• ScopeDesk.ai is worth considering if you're specifically a project/software team and want AI to infer the actual team composition—e.g., frontend, backend, QA, design, PM—from project scope.ScopeDesk

My pick: Mosaic for a services/project organization where the key question is “Given our backlog, who do we need to hire for Q3, and when?” It is unusually close to that exact use case.Mosaic

If you tell me what kind of company/team you have and where your backlog currently lives (Jira, Linear, Salesforce, Asana, etc.), I can narrow this to the best 2–3 platforms.