Dashboard / Candidate
Ananya Rajan
Applied for Product Manager · pm_05_ananya_rajan.pdf
Private: squad_5@pg27.mesaschool.co · +91 96293 47850
Applied-role score
69/100#6 of 34 PM applicants
PM score
69/100SPM score
53/100Current status
AnalysedBorderline (AI suggestion)
Your decision
1
Why they fit
- Problem -> Change -> Result 25%
The candidate provides multiple concrete examples of noticing friction, taking direct action to change tools or processes, and achieving measurable results across both PM and operational roles. Results include a 22% reduction in SLA breaches, reduced back-and-forth communication, and significant annual cost savings.
- Evidence-Led Decisions 20%
The CV shows explicit examples of decisions being stopped or revised based on data rather than assumptions, specifically killing two championed features after behavioural and customer-segment data proved the hypotheses wrong. A carrier rate renegotiation was also driven by an objective performance data model.
- Builds Repeatable Ways of Working 20%
The candidate has created tools and formats that others adopted, such as rebuilding the daily exception report format used by the ops team and creating the company's first user manual and documentation from scratch. However, deeper detail on ongoing organizational adoption and evolution of these systems is limited.
2
Where they fall short
- Carries Ambiguous Problems Through to Closure −16 pts
The CV notes managing delivery exceptions and multi-account logistics, but does not provide a specific narrative of taking a messy, ambiguous problem across multiple functions through to post-resolution closure. Evidence of cross-functional escalation handling and subsequent follow-up is largely absent.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Independent Decision Ownership | 30% | 2/5 | 12.0/30 | The candidate demonstrates independent ownership as the sole PM for 8 months and made calls to kill features. However, the CV does not articulate consequential trade-offs or navigating major decisions under high uncertainty with lasting stakes. |
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| Problem -> Change -> Business/Operational Result | 20% | 4/5 | 16.0/20 | The CV shows multiple clear interventions tied directly to quantified operational and business outcomes, including cost savings and SLA breach reductions. |
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| Evidence-Led Prioritisation and Reversal | 20% | 4/5 | 16.0/20 | The candidate provides clear and explicit examples of evidence-driven reversals, specifically killing features they personally championed when behavioural and adoption data proved their initial assumptions wrong. |
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| Creates Systems Others Run | 15% | 2/5 | 6.0/15 | The candidate created foundational artifacts such as a reporting format for the operations team and documentation from scratch. However, evidence is partial regarding establishing self-sustaining operating systems or rhythms that others continuously run. |
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| Multi-Party Resolution Under Pressure | 15% | 1/5 | 3.0/15 | The CV mentions handling exceptions and renegotiating underperforming carrier rates, but contains no specific evidence of driving high-stakes multi-party escalations, incidents, or post-mortem resolutions under intense pressure. |
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| Total | 100% | 53 | The candidate shows strong evidence of problem-to-result execution and evidence-led reversals, highlighted by measurable operational savings and killing failed features. However, evidence is weaker regarding high-stakes independent trade-offs, scalable systems adopted by others, and resolving complex multi-party incidents under pressure as required for an SPM. | ||
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 a delivery SLA monitoring dashboard in Tableau; moved from reactive to proactive exception handling — reduced SLA breaches by 22% over 2 quarters” · Problem -> Change -> Result
- “Rebuilt the daily exception report format that the ops team sent to clients — reduced back-and-forth by removing ambiguity from the status descriptions” · Problem -> Change -> Result
- “Renegotiated rates with 3 underperforming carriers using a performance data model I built; saved n18L annually on one account” · Problem -> Change -> Result
- “Shipped 5 features in 12 months; killed 2 — one after a week (data showed the behaviour we assumed didn't exist), one after a month (adoption was strong but the right customers weren't using it)” · Evidence-Led Decisions
- “Renegotiated rates with 3 underperforming carriers using a performance data model I built; saved n18L annually on one account” · Evidence-Led Decisions
- “Rebuilt the daily exception report format that the ops team sent to clients — reduced back-and-forth by removing ambiguity from the status descriptions” · Builds Repeatable Ways of Working
- “Built product documentation from scratch; created the first user manual that didn't exist when I joined” · Builds Repeatable Ways of Working
- “Managed carrier planning and exception management for 4 FMCG client accounts across South India — 600+ shipments monthly” · Carries Ambiguous Problems Through to Closure
- “Designed carrier rate benchmarking feature after 3 months of discovery with logistics managers at 8 companies; feature became the primary sales demo hook” · Gets to the Source Before Designing the Fix
- “Runs weekly calls with 5 carrier partners to understand operational constraints that affect the platform — product decisions informed by carrier ops reality, not assumptions” · Gets to the Source Before Designing the Fix
Outcomes stated in the CV
- Shipped 5 features in 12 months and iterated by killing 2 non-viable features based on data
- Designed a carrier rate benchmarking feature that became the primary sales demo hook
- Reduced SLA breaches by 22% over 2 quarters via a custom Tableau dashboard
- Saved 18L annually on one client account through data-backed carrier rate renegotiation
Anonymised CV (exactly what the AI saw)
[CANDIDATE] Product Manager [PHONE REDACTED] · [EMAIL REDACTED] · Chennai · [PROFILE URL REDACTED] Professional Summary Product Manager with 2 years in product, preceded by 3 years in supply chain planning and carrier operations at a national 3PL. Built operational instincts in logistics before moving into product. Own things end to end. Ship and learn in short cycles. Have killed two features I championed after the data proved me wrong. Work Experience Product Manager Routemaster Technologies Pvt. Ltd. (Last-Mile & Carrier SaaS), Chennai · Apr 2023 – Present — Sole PM for carrier integration and route planning modules — only PM in the company for the first 8 months — Shipped 5 features in 12 months; killed 2 — one after a week (data showed the behaviour we assumed didn't exist), one after a month (adoption was strong but the right customers weren't using it) — Designed carrier rate benchmarking feature after 3 months of discovery with logistics managers at 8 companies; feature became the primary sales demo hook — Built product documentation from scratch; created the first user manual that didn't exist when I joined — Runs weekly calls with 5 carrier partners to understand operational constraints that affect the platform — product decisions informed by carrier ops reality, not assumptions Senior Supply Chain Analyst TCI Supply Chain Solutions Pvt. Ltd., Chennai · Sep 2021 – Mar 2023 — Managed carrier planning and exception management for 4 FMCG client accounts across South India — 600+ shipments monthly — Built a delivery SLA monitoring dashboard in Tableau; moved from reactive to proactive exception handling — reduced SLA breaches by 22% over 2 quarters — Renegotiated rates with 3 underperforming carriers using a performance data model I built; saved n18L annually on one account Supply Chain Analyst TCI Supply Chain Solutions Pvt. Ltd., Chennai · Jul 2020 – Aug 2021 — Demand forecasting, carrier scheduling, and delivery exception management for 2 manufacturing client accounts — Rebuilt the daily exception report format that the ops team sent to clients — reduced back-and-forth by removing ambiguity from the status descriptions Education B.E., Industrial Engineering · Anna University, Chennai · 2016–2020 · CGPA 8.4/10 Skills & Certifications Product strategy · Supply chain operations · JIRA · Figma · SQL · Tableau · Mixpanel · Notion · Excel APICS CSCP (2022) · Product Analytics – Amplitude (2024)
Redacted: name ×1, email ×1, phone ×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 (2)
- 9/29/2026, 11:02:07 AMsystemanalysis completed{"PM_score":69,"SPM_score":53}
- 9/29/2026, 11:01:25 AMsystemcv ingested{"file":"pm_05_ananya_rajan.pdf","role":"PM","redactions":{"name":1,"email":1,"phone":1,"profile_url":1},"name_detected":true}