Best PM Tools for VPs of Product and CPOs

MRR and ARR are the foundational metrics of every SaaS business. This calculator breaks down your recurring revenue into new, expansion, contraction, and churned components so you can see exactly where growth is coming from. Product leaders use MRR decomposition to identify whether growth is driven by acquisition or expansion and to spot early warning signs in contraction trends.

LTV:CAC ratio is the single most important unit economics metric for SaaS businesses. A ratio of 3:1 or higher indicates healthy economics; below that, you are spending too much to acquire customers relative to their value. Product leaders use this metric to evaluate go-to-market efficiency, negotiate marketing budgets, and determine whether the business model is sustainable at scale.

The Rule of 40 states that a healthy SaaS company should have its revenue growth rate plus profit margin equal or exceed 40%. It measures the trade-off between growth and profitability that every scaling company faces. Product leaders use this benchmark in board discussions and strategic planning to evaluate whether the company is balancing investment in growth with path-to-profitability expectations.

TAM, SAM, and SOM quantify your total addressable market, serviceable market, and realistic obtainable market. This calculator supports both top-down (industry data) and bottom-up (customer × ACV) methodologies. Product leaders use market sizing to validate new product bets, prepare investor materials, and set realistic revenue targets that align executive expectations with market reality.

Every product team needs a single North Star Metric that captures the core value delivered to customers. This quiz analyzes your product type, revenue model, company stage, value driver, and usage frequency to recommend the best North Star from a database of proven metrics with example companies. Product leaders use this to align their entire organization around one metric that drives both customer value and business growth.

This diagnostic assessment evaluates your product management practice across discovery, prioritization, roadmapping, metrics, strategy, and stakeholder management. Each dimension is scored on a 4-level maturity scale from Emerging to Advanced. Product leaders use this to identify specific capability gaps in their organization, build a PM transformation roadmap, and benchmark progress over time against industry-standard maturity frameworks.

Before investing in AI features, you need to honestly assess whether your organization is ready. This assessment evaluates AI readiness across data infrastructure, team skills, organizational culture, technical capabilities, and governance maturity. Product leaders use this to identify readiness gaps before committing resources, build an AI enablement roadmap, and set realistic expectations with leadership about what is achievable in the near term.

The weighted scoring model lets you define your own prioritization criteria — strategic alignment, customer impact, revenue potential, technical feasibility — and assign relative weights. Product leaders use this when standard frameworks like RICE feel too rigid and they need scoring that reflects their unique strategic context. Build a repeatable, transparent scoring rubric your entire organization can adopt.

Knowing your burn rate and remaining runway is critical for strategic decision-making at startups and growth-stage companies. This calculator computes net burn from your revenue and expenses to determine how many months before you need additional funding. Product leaders use runway calculations to scope roadmap ambition, time fundraising activities, and make hiring decisions with financial confidence.

Churn is the silent killer of SaaS businesses. This calculator converts between monthly and annual churn rates and benchmarks your performance against SaaS companies at different stages — early-stage, growth, and mature. Product leaders use churn analysis to set retention goals, identify at-risk segments, and quantify the revenue impact of reducing churn by even a single percentage point.

The SaaS Quick Ratio measures the efficiency of your revenue growth by comparing incoming MRR (new + expansion) against outgoing MRR (contraction + churn). A Quick Ratio above 4 indicates highly efficient growth; below 1 means the business is shrinking. Product leaders use this metric to evaluate whether growth is sustainable or if a leaky bucket problem needs urgent attention.

The build vs. buy decision for AI is more nuanced than traditional software — with fine-tuning as a powerful middle ground. This analyzer evaluates your specific context across team capability, data assets, differentiation needs, budget, and time constraints to recommend building in-house, fine-tuning an existing model, or buying a vendor solution. Product leaders use this to make strategic AI investment decisions that match their organizational capabilities.