Best PM Tools for New and IC Product Managers

The RICE scoring model helps product teams objectively rank features by multiplying Reach, Impact, and Confidence, then dividing by Effort. Product leaders use RICE when they need a data-driven prioritization approach that reduces bias and politics in roadmap planning discussions. Score multiple features side-by-side and instantly see a ranked priority list you can share with stakeholders.

ICE scoring is the fastest prioritization framework available — three simple scores multiplied together give you a ranked backlog in minutes. Product leaders use ICE for rapid triage when speed matters more than precision, such as sprint planning or hack-week idea selection. Ideal for teams that find RICE too heavyweight for their current process maturity.

MoSCoW is a categorical prioritization method that forces stakeholders to commit to what's truly essential versus nice-to-have. Product leaders use MoSCoW during scope negotiations and release planning when they need clear boundaries between must-ship and can-wait. Particularly effective for cross-functional alignment because the categories are intuitive for non-technical stakeholders.

Not sure whether to use RICE, ICE, MoSCoW, WSJF, or Kano? This diagnostic quiz asks about your team size, process maturity, data availability, and decision-making style to recommend the best-fit prioritization framework. Product leaders use this when establishing or upgrading their team prioritization process — it saves weeks of framework evaluation and pilot testing.

Net Promoter Score is the gold standard for measuring customer loyalty and predicting growth. This calculator takes your survey responses, computes your NPS, and benchmarks it against SaaS industry averages by company stage and segment. Product leaders use NPS to track satisfaction trends, set customer health OKRs, and build the case for retention investments.

The Sean Ellis test asks users how they would feel if they could no longer use your product. If 40% or more say "very disappointed," you have product-market fit. Product leaders use this metric to determine whether to double down on growth or pivot back to discovery. This calculator gives you the PMF percentage plus actionable guidance based on where you fall on the spectrum.

Running experiments without statistical rigor wastes engineering resources and leads to false conclusions. This calculator handles both pre-test sample size planning and post-test significance analysis. Product leaders use it to ensure experiments have adequate power before launch and to make confident ship/kill decisions when results come in, reducing the risk of shipping features that don not actually move metrics.

The Kano model classifies features by their relationship to customer satisfaction: must-be features prevent dissatisfaction, performance features scale linearly with investment, and attractive features create delight. Product leaders use Kano to avoid over-investing in table-stakes features and to identify the delighters that differentiate your product. Essential for customer-centric roadmap discussions.

Not every feature is worth building. This calculator compares the development cost of a feature against its projected revenue impact to determine ROI. Product leaders use feature ROI analysis in roadmap prioritization to ensure engineering investment flows toward the highest-value opportunities and to justify development resources to finance and executive leadership.

Prepare for product management interviews with timed practice questions across strategy, execution, analytical, behavioral, design, and technical categories. Each question comes with a timer and structured evaluation criteria. Product leaders use this to prepare their teams for internal promotions, upskill during career transitions, and develop structured thinking skills that apply directly to daily PM work.