Dashboard / Candidate
Manish Kapoor
Placed in Product Manager by best fit (no role stated; scored higher on this rubric) · 28_manish_kapoor.pdf
Private: squad_6@pg27.mesaschool.co · no phone found
Applied-role score
40/100#19 of 34 PM applicants
PM score
40/100SPM score
35/100Current status
AnalysedBelow shortlist (AI suggestion)
Your decision
1
Why they fit
- Problem -> Change -> Result 25%
The candidate provides clear examples where their specific actions produced measurable operational improvements, such as building API extensibility and self-service analytics to reduce developer requests by 30%. An earlier example also links automating KPI reporting to a 60% reduction in turnaround time.
2
Where they fall short
- Evidence-Led Decisions −16 pts
The CV mentions defining funnel metrics and iterating on experiments, but it does not describe any specific decision that was changed, stopped, or prioritized because of evidence, nor what happened after the decision.
- Gets to the Source Before Designing the Fix −15 pts
Evidence is not present in the CV. Although 'User Research' appears in the skills list, the CV contains no concrete examples of directly observing, interviewing, or working alongside users to discover insights that altered a product or workflow design.
- Builds Repeatable Ways of Working −12 pts
The candidate built self-service analytics tooling and APIs that enabled repeated self-service across teams, reducing dev tickets. However, there is no explicit evidence of establishing reusable operational processes, templates, or governance rituals that other team members adopted.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Problem -> Change -> Result | 25% | 4/5 | 20.0/25 | The candidate provides clear examples where their specific actions produced measurable operational improvements, such as building API extensibility and self-service analytics to reduce developer requests by 30%. An earlier example also links automating KPI reporting to a 60% reduction in turnaround time. |
|
| Evidence-Led Decisions | 20% | 1/5 | 4.0/20 | The CV mentions defining funnel metrics and iterating on experiments, but it does not describe any specific decision that was changed, stopped, or prioritized because of evidence, nor what happened after the decision. |
|
| Builds Repeatable Ways of Working | 20% | 2/5 | 8.0/20 | The candidate built self-service analytics tooling and APIs that enabled repeated self-service across teams, reducing dev tickets. However, there is no explicit evidence of establishing reusable operational processes, templates, or governance rituals that other team members adopted. |
|
| Carries Ambiguous Problems Through to Closure | 20% | 2/5 | 8.0/20 | The CV shows coordination of a complex compliance migration including verification via audit checks. However, this is described as participation ('Supported') and lacks details of handling messy ambiguity, managing escalations, or driving post-incident closure. |
|
| Gets to the Source Before Designing the Fix | 15% | 0/5 | 0.0/15 | Evidence is not present in the CV. Although 'User Research' appears in the skills list, the CV contains no concrete examples of directly observing, interviewing, or working alongside users to discover insights that altered a product or workflow design. | Evidence not present in the CV. |
| Total | 100% | 40 | The candidate demonstrates strong delivery and measurable results, notably in building self-service tools that cut developer requests and turnaround times. However, the CV lacks evidence of firsthand user discovery altering product designs, and evidence-led decision pivots or end-to-end ambiguous problem ownership are either indirect or framed as participation. | ||
Scoring scale
- 0: No evidence in the CV
- 1: Indirect or participation-only evidence
- 2: Partial: some elements of the description, weak link to outcome
- 3: One clear example matching the description
- 4: Clear example with a visible result, candidate's own action linked to it
- 5: Repeated, strong examples fully matching the description, with results
Weighted contribution = score ÷ 5 × weight. Every quote is checked against the CV text; if none can be verified, the score is capped at 1.
4
Evidence
Verified CV quotes used (PM rubric)
- “Built extensibility through APIs & Self-service analytics, cutting dev requests by 30%” · Problem -> Change -> Result
- “Automated KPI visualizations in Tableau/Excel, reducing turnaround time by 60%” · Problem -> Change -> Result
- “Defined KPIs & funnel metrics for adoption, iterating on experiments to drive top-20 ranked BI solutions (out of 2M+ reports)” · Evidence-Led Decisions
- “Built extensibility through APIs & Self-service analytics, cutting dev requests by 30%” · Builds Repeatable Ways of Working
- “Supported RBI India data localization compliance by coordinating migration of employee datasets to approved data centers, verifying integrity through audit checks” · Carries Ambiguous Problems Through to Closure
Outcomes stated in the CV
- Scaled an Enterprise-wide Insights platform to 12,000+ global users and 300+TB of data at Microsoft
- Improved global sales tooling adoption by 40% through the launch of Copilot-based insights tooling
- Linked $400M+ investments to Azure Consumed Revenue via Customer ROI dashboard adopted across 8,000+ stakeholders
- Reduced dev requests by 30% through self-service analytics and APIs at Microsoft
- Automated KPI visualizations in Tableau/Excel, cutting turnaround time by 60% at ZS Associates
- Delivered insight-led strategies impacting 19M+ customers across 25 global markets at American Express
Anonymised CV (exactly what the AI saw)
Delhi NCR, India Phone: | Email: | LinkedIn: [PROFILE URL REDACTED] PROFESSIONAL SUMMARY Senior Product Manager – Data & AI Platforms Product leader with 10+ years’ experience in building, scaling and optimizing Enterprise SaaS platforms across ValueMatrix.AI, Microsoft, American Express and ZS. Proven record of defining Product Strategy, owning roadmaps & OKRs, Data-driven decision making and partnering with Engineering, Design and Data science to deliver high- performing, customer-centric products adopted at scale. WORK EXPERIENCE ValueMatrix.AI ➢ Senior Product Manager Oct 2025 – Present • Delhi (Remote) ▪ Leading the cultural-fit assessment pillar in hiring by building DeepTech tools integrated into ATS workflows and powered by Voice AI analytics ▪ Owning the end-to-end Team Dynamics product, which evaluates candidate–organization fit and drives cultural alignment for hiring decisions ▪ Partnering with Research and Data Science to shape product roadmaps, define scoring logic, and validate models using research inputs from IIM-A collaborators Microsoft India (R&D) Pvt. Ltd. ➢ Product Manager 2 Apr 2022 – Aug 2025 • Noida, Uttar Pradesh • Org: Enterprise Platform & Services Engineering ▪ Owned Product vision & roadmap for Enterprise-wide Insights platform, scaling to 12,000+ global users with 300+TB of data, ensuring reliability & performance ▪ Launched Copilot-based insights tooling, integrated across global sales teams, improving adoption by 40% and accelerating decision-making ▪ Defined and executed vision for Customer ROI dashboard linking $400M+ investments to Azure Consumed Revenue; drove adoption across 8,000+ stakeholders ▪ Partnered with engineering to build data pipelines, ETL workflows, and scalable reporting across Azure ▪ Defined KPIs & funnel metrics for adoption, iterating on experiments to drive top-20 ranked BI solutions (out of 2M+ reports) ▪ Built extensibility through APIs & Self-service analytics, cutting dev requests by 30% ▪ Delivered a Sales Talent Intelligence Platform enabling performance and skills visibility for 10,000+ Customer Success personnel, improving operational planning and workforce alignment American Express India Pvt. Ltd. ➢ Product Manager Oct 2016 – Apr 2022 • Gurgaon, Haryana • Org: Enterprise Digital & Analytics ▪ Led roadmap & delivery of an internal analytics platform serving 6,000+ stakeholders across Marketing, Risk & Finance ▪ Partnered with marketing and risk teams to derive insight-led strategies impacting 19M+ customers globally across 25 Global markets ▪ Supported RBI India data localization compliance by coordinating migration of employee datasets to approved data centers, verifying integrity through audit checks ▪ Led data migration & governance of 1,200+ data elements to Big Data platforms, ensuring compliance and quality ▪ Led impact analysis on 4500+ tables; published KPIs to measure platform throughput, turnaround, and data quality ZS Associates Pvt. Ltd. ➢ Business Operations Associate Jul 2015 – Oct 2016 • Gurgaon, Haryana • Domain: Incentive Compensation Analytics (US Pharma Client) ▪ Built Sales enablement and Performance analytics platforms for Fortune 100 clients in pharma/healthcare ▪ Automated KPI visualizations in Tableau/Excel, reducing turnaround time by 60% ▪ Aligned compensation reporting with client strategy, ensuring executive adoption [CANDIDATE] KapoorMANISH [CANDIDATE] [EMAIL REDACTED]+91 97651 3028497651 30284 [CANDIDATE]-[CANDIDATE]-pm [CANDIDATE]-[CANDIDATE]-pm CORE SKILLS Product Leadership: Product Strategy & Vision, Roadmap Ownership, Outcome-based OKRs, SAFe/Agile Experimentation & Analytics: A/B Testing, Funnel Metrics, Usage Telemetry, KPI Frameworks Data & AI: SQL, Hive, Power BI, Tableau, Data Governance & Compliance, Python (Analysis), AI/ML-Driven Insights Cross-Functional Collaboration: Engg/Design/Data Science, User Research, GTM Alignment, Stakeholder Influence Tools: JIRA, Confluence, Azure DevOps, Rally, Figma, Visio CERTIFICATIONS SAFe 4 Certified Product Owner / Product Manager — Certified in 2019 Agile Scrum Fundamentals – 2018 EDUCATION Bachelor of Technology (Biotechnology) Delhi Technological University (DTU), Delhi 2011 – 2015 | CGPA: 7.8/10 Class XII (CBSE) Rukmini Devi Public School, Delhi 2010 | Score: 91.20% Class X (CBSE) Rukmini Devi Public School, Delhi 2008 | Score: 93.80% ACHIEVEMENTS Senior VP Award in “Drive Results” category – American Express (2020) Edward P. Gilligan Innovation Award – American Express (2019) Analyst of the Quarter at VP Level – American Express (2017) Featured on DD1 Live TV under youth leadership program (twice) – 2010 Awarded INR 1,00,000 merit scholarship for stellar academic performance – Class X (2009) PROJECTS & LEADERSHIP INITIATIVES ▪ 2012–2014: Research Project on “Jugaad in Street Entrepreneurship” under IIM Calcutta — Explored Informal sector Business Innovation ▪ Core team member, Avanti NGO (DTU Chapter) — provided Career counseling for Underprivileged students ▪ Led IEEE Tech Fest & Biotech Fest at DTU — Organized national-level quizzes and workshops ADDITIONAL DETAILS Languages: English (Fluent), Hindi (Native), Punjabi (Basic), German (Basic) Hobbies: Travel, Cricket, Badminton, Financial Markets, Volunteer Work
Redacted: name ×6, email ×1, profile url ×1
5
Interview brief
Briefs are written when you shortlist a candidate.
6
Email draft
An offer or rejection draft is prepared once you make a decision. Nothing is ever sent without your approval.
Audit trail (3)
- 9/29/2026, 11:37:02 AMsystemanalysis completed{"PM_score":40,"SPM_score":35}
- 9/29/2026, 11:37:01 AMsystemrole assigned best fit{"role":"PM","PM_score":40,"SPM_score":35}
- 9/29/2026, 11:29:35 AMsystemcv ingested{"file":"28_manish_kapoor.pdf","role":"AUTO","redactions":{"name":12,"email":1,"profile_url":1},"name_detected":true}