Top 5 Success Metrics (Measure product value and business impact) in Product Management and Project management

 

Success Metrics (Measure product value and business impact)

High Importance:

  1. Customer Adoption Rate – % of target users actively using the feature/product.

  2. Revenue Impact – Revenue growth, cost savings, or ROI tied to the release.

  3. User Satisfaction (NPS/CSAT) – Feedback scores from end-users/stakeholders.

  4. Defect Escape Rate – Critical bugs found post-launch (indicates quality gaps).

  5. Conversion Rates – For key user flows (e.g., sign-ups, purchases).

( To remeber.
 I signed up to Swiggy -- conversion,
 I use it to order items- good adoption, 
I use Swiggy few times an year-  revenue ,
I didn't find a bug -- defect, 
I get coupons if item is missing- satisfaction level is good )


========

Project Metrics (Measure delivery efficiency and team performance)

High Importance:

  1. On-Time Delivery Rate – % of releases/sprints meeting committed deadlines.

  2. Sprint Velocity – Story points completed per sprint (track consistency, not speed).

  3. Scope Creep Rate – % of unplanned work added mid-sprint/release.

  4. Critical Risk Resolution Time – Time taken to mitigate top risks.

Example 1 – Healthcare SaaS Platform Launch:
During the final testing phase, a compliance risk related to HIPAA data encryption was flagged. The risk was resolved in 3 working days after immediate escalation to the security and legal teams. The quick turnaround helped avoid a potential go-live delay and reputational damage.

Example 2 – E-commerce Mobile App Update:
A performance bottleneck was discovered in the checkout module that could cause timeouts during peak sales hours. The issue was logged as a critical risk. It was mitigated in 48 hours by reallocating senior backend engineers and optimizing the database queries.

  1. Burndown/Burnup Charts – Progress toward sprint/release goals. 

EdTech Course Builder Feature (Burnup chart):
The burnup chart illustrated that while the team’s completed work increased steadily, the scope also grew mid-sprint due to stakeholder-requested changes. This visualization clearly exposed scope creep and helped initiate a discussion to move some features to the next sprint.

Comments

Post a Comment

Popular posts from this blog

Beyond Google: The Best Alternative Search Engines for Academic and Scientific Research

Google may be the most popular search engine, but it isn’t always the best for academic and scientific research. Many valuable scholarly resources are buried under commercial results or hidden behind paywalls. Fortunately, there are specialized search engines designed to help researchers, students, and professionals find high-quality, peer-reviewed content. Here’s a selection of the best alternatives to Google, focusing on science, technology, medicine, and economics. 1. RefSeek ( www.refseek.com ) Best for: General academic research. RefSeek indexes over a billion documents, including research papers, encyclopedias, and books. Unlike Google, it prioritizes educational content and filters out commercial websites. 2. WorldCat ( www.worldcat.org ) Best for: Finding books and research materials in libraries worldwide. WorldCat allows users to search for books, articles, and historical archives in over 20,000 libraries. It’s ideal for tracking down rare or specialized academic ma...
Read more

LLM-based systems- Comparison of FFN Fusion with Other Approaches

  Comparison of FFN Fusion with Other Approaches & Suitable Use Cases FFN Fusion (NVIDIA) FFN Fusion optimizes transformers by identifying feed-forward layers that can be executed in parallel. By analyzing dependencies and fusing low-interaction FFN layers, it achieves significant reductions in inference latency and computational cost. Unlike traditional techniques that modify numerical precision or prune parameters, this approach restructures the model while preserving accuracy. Best Use Cases High-throughput AI applications : Ideal for AI assistants, chatbots, and large-scale LLM-based systems that need rapid multi-token generation. Enterprise-level LLM deployments : Works well where cost efficiency is important without compromising model performance. Real-time scientific research tools : Can enhance inference speed in AI-driven analytics, simulations, and predictive modeling. Quantization Quantization reduces the precision of numerical calculations (e.g., from 32-...
Read more

Product management. Metrics and examples

  Business Metrics focused on startups: A Comprehensive Guide to Measuring Growth and Success for a Product manager  For startups, tracking the right metrics is critical for measuring financial performance, customer acquisition, retention, and market potential. These key indicators help founders, investors, and executives make informed decisions, optimize business strategies, and drive sustainable growth. While some metrics are universal, their application varies across industries. This guide provides a detailed breakdown of essential startup metrics, with diverse examples from SaaS, healthcare, pharma, automotive, fintech, e-learning, and more. Revenue Metrics: Understanding Financial Performance 1. Monthly Recurring Revenue (MRR) The total revenue generated from paid customer subscriptions each month. Example 1 (SaaS): A cloud-based project management platform earns $50,000 monthly from subscriptions. Example 2 (Healthcare): A telemedicine platform generates $30,00...
Read more