Akash Verma
Why they fit
No criterion reached a clear-evidence score (3/5 or higher) on the PM rubric.
Where they fall short
- Builds Repeatable Ways of Working −20 pts
Evidence is not present. The CV does not mention creating any tools, templates, checklists, or processes that were adopted by others.
- Evidence-Led Decisions −16 pts
The candidate assisted with A/B test analysis and presented interview findings, but does not provide evidence of any decision being prioritised, altered, or stopped because of this data.
- Carries Ambiguous Problems Through to Closure −16 pts
Managing stakeholder communication during a team change for one sprint cycle shows temporary operational support, but lacks evidence of driving a messy, ambiguous problem through resolution and follow-up.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Problem -> Change -> Result | 25% | 2/5 | 10.0/25 | The candidate provides a technical example of fixing a latency issue affecting 2M+ daily emails as a developer, but product management tasks (A/B testing and shipping 6 features) lack specific outcomes, friction points, or measurable business results. |
|
| Evidence-Led Decisions | 20% | 1/5 | 4.0/20 | The candidate assisted with A/B test analysis and presented interview findings, but does not provide evidence of any decision being prioritised, altered, or stopped because of this data. |
|
| Builds Repeatable Ways of Working | 20% | 0/5 | 0.0/20 | Evidence is not present. The CV does not mention creating any tools, templates, checklists, or processes that were adopted by others. | Evidence not present in the CV. |
| Carries Ambiguous Problems Through to Closure | 20% | 1/5 | 4.0/20 | Managing stakeholder communication during a team change for one sprint cycle shows temporary operational support, but lacks evidence of driving a messy, ambiguous problem through resolution and follow-up. |
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| Gets to the Source Before Designing the Fix | 15% | 2/5 | 6.0/15 | The candidate directly interviewed 15 content creators and documented findings, demonstrating firsthand discovery work; however, there is no evidence showing how these insights altered or shaped the subsequent product fix. |
|
| Total | 100% | 24 | The candidate demonstrates baseline APM support activities, including writing stories, running A/B test operations, and conducting user interviews. However, the CV lacks evidence of independent decision-making based on data, measurable product outcomes, repeatable systems, or driving complex ambiguous problems to closure. | ||
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.
Evidence
- “Fixed 40+ bugs in the job alert notification system; one fix resolved a latency issue affecting 2M+ daily emails” · Problem -> Change -> Result
- “Wrote user stories and acceptance criteria for 6 features shipped in 12 months” · Problem -> Change -> Result
- “Ran A/B tests on 4 product flows; managed test setup and results analysis in coordination with the data team” · Evidence-Led Decisions
- “Conducted user interviews with 15 content creators; documented findings in Notion and presented to PM” · Evidence-Led Decisions
- “Managed stakeholder communication between PM and engineering for one sprint cycle during a team change” · Carries Ambiguous Problems Through to Closure
- “Conducted user interviews with 15 content creators; documented findings in Notion and presented to PM” · Gets to the Source Before Designing the Fix
- Wrote user stories and acceptance criteria for 6 features shipped in 12 months
- Ran A/B tests on 4 product flows
- Fixed 40+ bugs in the job alert notification system, resolving a latency issue affecting 2M+ daily emails
Anonymised CV (exactly what the AI saw)
[CANDIDATE] Product Manager [PHONE REDACTED] · [EMAIL REDACTED] · Delhi NCR · [PROFILE URL REDACTED] Professional Summary Associate Product Manager with 1.5 years of product experience in consumer apps and edtech. Background in engineering and a passion for building products that solve everyday user problems. Looking to grow into a full PM role with more ownership and a more complex domain. Work Experience Associate Product Manager Classplus (EdTech SaaS, Series D), Noida · Sep 2023 – Present — Part of the growth PM team — supporting two PMs on the creator tools and content monetisation modules — Ran A/B tests on 4 product flows; managed test setup and results analysis in coordination with the data team — Wrote user stories and acceptance criteria for 6 features shipped in 12 months — Managed stakeholder communication between PM and engineering for one sprint cycle during a team change — Conducted user interviews with 15 content creators; documented findings in Notion and presented to PM Software Developer Intern → Associate Developer InfoEdge India Ltd. (Naukri.com), Noida · Jan 2022 – Aug 2023 — Backend development on the Naukri job recommendation engine — Python, PostgreSQL — Fixed 40+ bugs in the job alert notification system; one fix resolved a latency issue affecting 2M+ daily emails Education B.Tech, Computer Science · DTU (Delhi Technological University) · 2018–2022 · CGPA 8.0/10 Skills & Certifications Product management · A/B testing · SQL · Python · JIRA · Figma · Mixpanel · Notion Product Management Basics – Product School (2023)
Interview brief
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Email draft
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Audit trail (2)
- 9/29/2026, 11:02:23 AMsystemanalysis completed{"PM_score":24,"SPM_score":11}
- 9/29/2026, 11:01:27 AMsystemcv ingested{"file":"pm_12_akash_verma.pdf","role":"PM","redactions":{"name":1,"email":1,"phone":1,"profile_url":1},"name_detected":true}