Original, data-driven research on product management — AI adoption, framework effectiveness, salary benchmarks, and career development. Free to read, cite, and reuse.
Adoption, Impact, and the 5-Stage Maturity Model
Survey of 2,047 PMs finds 312% AI adoption growth since 2024 and a median 47% reduction in discovery-to-spec planning time. Introduces a five-stage AI-PM maturity model.
Rankings, Effectiveness, and the Implementation Gap
Analysis of 54 PM frameworks across 3,247 real-world implementations. RICE ranks highest at 8.7/10, OKRs at 8.2/10, DACI at 7.9/10. Includes Shreyas Doshi stack analysis.
Compensation, Trajectories, and the 12 Core Competencies
Tracking 5,312 PM careers: US median total compensation reached $167k, median time to Senior PM is 2.4 years, and 12 competencies predict promotion with 71% accuracy.
All studies use self-reported survey data from PM Streak users — practising product managers at technology companies. Surveys are voluntary and anonymous. Data is collected via PM Streak's platform and validated against Levels.fyi and LinkedIn Salary Explorer for compensation comparisons.
We report 95% confidence intervals, sample sizes (n), and p-values for all key claims. Where possible, we validate findings using multiple statistical methods. Limitations and potential biases are disclosed in each paper.
All PM Streak Research is published under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share, adapt, and build upon this work with attribution. Cite using the DOI provided in each paper.
PM Streak Research is produced by the PM Streak editorial team. As an educational platform, we have a commercial interest in PM learning. We disclose this in every paper and endeavour to present findings that could contradict our commercial interests if the data supports it.
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