Varun Khanna
Why they fit
- Independent Decision Ownership 30%
The candidate demonstrates independent decision ownership by building the TMS from scratch where no roadmap existed and deciding to kill an underperforming mobile app in four weeks. However, the CV does not elaborate deeply on the trade-offs or decisions made under severe ambiguity and incomplete information.
- Problem -> Change -> Business/Operational Result 20%
The CV shows clear examples linking the candidate's interventions to tangible business and operational results, such as growing the TMS platform from concept to 30 paying clients and generating INR 40Cr in freight savings through operational redesign. While strong, repeated product-led metric outcomes within the tech role are somewhat concise.
- Evidence-Led Prioritisation and Reversal 20%
The candidate provides a clear, strong example of a reversal: killing a driver app four weeks post-launch when adoption hit only 3% of the target and shifting focus to dispatcher-side issues. Field observations and embedded visits also demonstrate a commitment to evidence-led discovery.
Where they fall short
- Multi-Party Resolution Under Pressure −15 pts
The CV contains no evidence of driving multi-party resolutions under pressure, handling critical incidents, managing escalations, or conducting post-mortems through failure or uncertainty.
- Creates Systems Others Run −9 pts
The candidate introduced a structured discovery practice and feature measurement framework for the PM team, but there is no evidence provided showing how these systems continued beyond inception or became self-sustaining operating rhythms run independently by others.
| Criterion | Weight | Score | Weighted | AI reasoning | Evidence from CV |
|---|---|---|---|---|---|
| Problem -> Change -> Result | 25% | 2/5 | 10.0/25 | The candidate built a TMS from scratch to 30 paying clients and delivered INR 40Cr in logistics consulting savings, but these are high-level project deliveries rather than clear loops where a specific friction was noticed, altered, and linked to a targeted operational improvement metric. |
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| Evidence-Led Decisions | 20% | 3/5 | 12.0/20 | The candidate demonstrates a clear evidence-based decision by killing a driver mobile app within four weeks after data showed only 3% target adoption and identified the problem sat with dispatchers. The CV does not, however, detail the specific actions or outcomes that followed this pivot. |
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| Builds Repeatable Ways of Working | 20% | 2/5 | 8.0/20 | The candidate created operating methods for their team by introducing structured discovery practices and a feature measurement framework. Evidence is partial because the CV does not show how these frameworks were subsequently adopted, embedded, or reused by others. |
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| Carries Ambiguous Problems Through to Closure | 20% | 1/5 | 4.0/20 | Evidence for this criterion is not present in the CV. While the candidate managed greenfield scopes and killed an unsuccessful app, the CV lacks evidence of managing an ambiguous, cross-functional issue or operational escalation through to closure with follow-up after the fix. | Evidence not present in the CV. |
| Gets to the Source Before Designing the Fix | 15% | 4/5 | 12.0/15 | The candidate demonstrates repeated, deep commitment to firsthand observation before designing interventions, spending weeks doing delivery ride-alongs and yard visits prior to making recommendations. This discovery work directly informed strategic decisions, such as identifying dispatcher-side friction and shaping network recommendations. |
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| Total | 100% | 46 | The candidate demonstrates outstanding field-based discovery practices and a solid willingness to make evidence-based decisions, such as stopping underperforming products. However, the CV provides limited evidence of driving ambiguous cross-functional operational crises to closure or demonstrating that introduced team frameworks were sustainably adopted. | ||
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
- “Designed and shipped the company's TMS product from concept to 30 paying clients over 3 years — no roadmap existed before I joined” · Independent Decision Ownership
- “Killed a mobile app for drivers in 4 weeks post-launch: adoption was 3% of the target, the real problem was dispatcher-side, not driver-side” · Independent Decision Ownership
- “Designed and shipped the company's TMS product from concept to 30 paying clients over 3 years — no roadmap existed before I joined” · Problem -> Change -> Business/Operational Result
- “Delivered INR 40Cr in freight cost savings across 4 major engagements over 3 years” · Problem -> Change -> Business/Operational Result
- “Killed a mobile app for drivers in 4 weeks post-launch: adoption was 3% of the target, the real problem was dispatcher-side, not driver-side” · Evidence-Led Prioritisation and Reversal
- “Runs quarterly embedded visits at 2 transporter yards and 2 shipper dispatch points: 2 days minimum, observing how freight is planned, loaded, and tracked without technology intervention” · Evidence-Led Prioritisation and Reversal
- “Manages a 3-PM team; introduced the team's first structured discovery practice and feature measurement framework” · Creates Systems Others Run
- Scaled TMS product from concept to 30 paying clients over 3 years
- Delivered INR 40Cr in freight cost savings across 4 major consulting engagements over 3 years
Anonymised CV (exactly what the AI saw)
[CANDIDATE] [EMAIL REDACTED] [PHONE REDACTED] · Mumbai [PROFILE URL REDACTED] Professional Summary Senior Product Manager with 9 years of experience — started in logistics management consulting (field-based, not strategy-desk), moved into product at a freight-tech company, and built the company's TMS product from the ground up. Deep understanding of how road freight, FTL/LTL, and carrier operations work in the Indian market — built from 3 years of plant visits and ops audits. Work Experience VP Product (Senior PM-equivalent) Blume Logistics Technologies Pvt. Ltd. (TMS & Freight-Tech, 80 employees), Mumbai · Aug 2019 – Present — Built the product function from scratch — first product hire; grew to lead a team of 3 PMs — Designed and shipped the company's TMS product from concept to 30 paying clients over 3 years — no roadmap existed before I joined — Road freight dispatch, carrier rate management, trip sheet automation, and freight audit are the 4 modules I have owned end to end from inception — Runs quarterly embedded visits at 2 transporter yards and 2 shipper dispatch points: 2 days minimum, observing how freight is planned, loaded, and tracked without technology intervention — Killed a mobile app for drivers in 4 weeks post-launch: adoption was 3% of the target, the real problem was dispatcher-side, not driver-side — Manages a 3-PM team; introduced the team's first structured discovery practice and feature measurement framework Senior Consultant – Logistics & Supply Chain Praxis Global Alliance (Management Consulting), Mumbai · Mar 2016 – Jul 2019 — Led supply chain and logistics optimisation engagements for mid-large industrial, FMCG, and e-commerce clients — Spent an average of 2 days per week at client plant, warehouse, or distribution centre sites — not just data analysis from the office — Led a road freight network redesign for a major cement company: spent 6 weeks visiting 8 plant dispatch points, riding along on deliveries, and interviewing transporters at truck terminals before drawing a single recommendation — Delivered INR 40Cr in freight cost savings across 4 major engagements over 3 years Analyst Praxis Global Alliance, Mumbai · Jul 2014 – Feb 2016 — Supported senior consultants on supply chain and operations projects in FMCG and retail sectors — Built data models, process maps, and client presentation decks; led client site visits in the junior analyst role Education MBA, Operations & Supply Chain · IIM Bangalore · 2012–2014 B.Tech, Civil Engineering · IIT Roorkee · 2008–2012 · CGPA 7.8/10 Skills & Certifications Product strategy · TMS & freight-tech · Road freight operations · Supply chain consulting · JIRA · Figma · SQL · Miro · Excel (advanced) CSCP – APICS (2015) · SAFe 5 Product Owner/PM (2020)
Interview brief
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Email draft
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Audit trail (2)
- 9/29/2026, 11:02:57 AMsystemanalysis completed{"PM_score":46,"SPM_score":56}
- 9/29/2026, 11:01:30 AMsystemcv ingested{"file":"spm_20_varun_khanna.pdf","role":"SPM","redactions":{"name":1,"email":1,"phone":1,"profile_url":1},"name_detected":true}