PM Assignments

Packaging Marketplace Onboarding & Conversion

PACTAP · APM

Diagnose drop-off in a B2B packaging marketplace's quote flow using provided data, and propose prioritised improvements with success metrics.

Improving the Customer Onboarding & Conversion Flow for a Packaging Marketplace

Scenario Overview

Context

You have joined PackRight, a B2B online marketplace that helps businesses order custom packaging from multiple verified suppliers. The platform offers hundreds of packaging SKUs (boxes, pouches, wrapping materials) plus customization services (printing, branding, die-cutting, etc.). Typical buyers are small and medium-sized enterprises (SMEs) in e-commerce, food & beverage, retail, and manufacturing.

Business Challenge

  • PackRight recently launched a new self-service feature that allows SMEs to easily customize packaging (select material, size, design, quantity) and get instant quotes from suppliers.
  • Despite decent traffic (mainly from targeted ads and organic search), only 30% of users complete the customization flow and place an order. Another 20% partially configure but drop off before getting a quote. The rest bounce early, at or before the first step of the process.

Your Role

As an Associate Product Manager, you have been asked to investigate:

  1. Why SMEs are dropping off at different stages of the onboarding & quote flow.
  2. What can be done to enhance the experience, reduce friction, and drive higher conversion.
  3. How you'd measure success (both qualitative and quantitative).

Data Excerpts

PackRight's Analytics and User Research teams provide you with select data points. (Note: the data below is fictional but realistic. It is not publicly available or standard reference data, so AI tools will not have these exact details.)

  1. Traffic & Conversion Metrics (Last 2 Months)
    • Average daily site visits: 5,000
    • Avg. visitor bounce rate: 45%
    • % new vs. returning visitors: 60% new / 40% returning
    • Quote flow entry rate: 35% of total visitors (the rest browse products but never start the customization process)
    • Quote completion rate: 30% of those who start (i.e., ~10.5% of total visitors)
    • Average order value (AOV): $700
  2. User Feedback Highlights (from recent interviews with 15 SMEs)
    • 6/15 found the customization wizard "confusing" (unclear terms for box dimensions vs. quantity)
    • 4/15 wanted real-time price updates as they changed specs
    • 5/15 reported difficulty understanding shipping & fulfillment timelines when comparing multiple suppliers
    • 3/15 expressed interest in sample shipments before bulk orders.
  3. Engagement by Quote Steps
    • Step 1 (Packaging Type & Dimensions): 100% of "starters" (all who begin get here)
    • Step 2 (Artwork Upload or Print Options): ~65% of "starters" proceed here
    • Step 3 (Supplier Comparison): ~45% of "starters" proceed here
    • Step 4 (Enter Delivery Details): ~35%
    • Step 5 (Finalize Order + Payment): ~30%
  4. Support Tickets Analysis
    • 25% revolve around clarifying shipping costs (especially for multi-supplier orders)
    • 20% revolve around technical issues with artwork upload (file format, resolution)
    • 15% revolve around confusion over lead times and rush-order surcharges

Task & Deliverables

You have 3 days to work on this (with an expectation of ~5 total work hours). Please produce:

  1. Problem Statement & Hypothesis
    • Synthesize the data to form your understanding of the core user problems.
    • Identify possible friction points and hypothesize the top reasons for drop-off.
  2. Proposed Improvements
    • Suggest 2–3 high-impact improvements or features that would enhance the user flow.
    • Each improvement should address a specific user pain point and be aligned with business goals (e.g., conversion, AOV, user satisfaction).
  3. Solution Outline & Prioritization
    • Provide a brief outline of how you would approach implementing each improvement.
    • Include a simple prioritization framework (e.g., effort vs. impact matrix).
    • Identify any assumptions, dependencies, or risks.
  4. Success Metrics
    • Define 3–5 metrics or KPIs you would track to measure the effectiveness of your proposed solutions (e.g., funnel drop-off % at each step, cart conversion rate, user satisfaction rating, etc.).
    • Briefly explain why you chose those metrics and how you'd gather the data.
  5. Mock Flows / Wireframes (Optional but Helpful)
    • If you have time, include rough sketches or wireframes (hand-drawn is fine) to illustrate how your proposed user flow might look.
  6. Communication & Stakeholder Plan
    • In 1–2 paragraphs, summarize how you would communicate these changes to internal teams (design, engineering, sales) and to external stakeholders (key suppliers, SME customers).
    • Highlight any major risks or dependencies (e.g., "Supplier X requires additional lead time to integrate real-time pricing API").

Constraints & Notes

  • Time Bound: Aim for no more than 5 total hours of effort across up to 3 calendar days.
  • Original Thought: Since these data points are unique to this fictional scenario, there is no "standard" or AI-accessible solution. We are most interested in your personal approach to product thinking, prioritization, and clarity of communication.
  • Evaluation Criteria: We will assess you on:
    1. Clarity of Problem Understanding: Did you capture the right user problems and articulate them effectively?
    2. Rationale & Depth of Proposed Solutions: How logical, feasible, and high-impact are your ideas?
    3. Data-Driven Decision-Making: Are you leveraging the provided data effectively to back up your hypotheses and suggestions?
    4. Practicality & Implementation Awareness: Did you consider technical feasibility, dependencies, and trade-offs?
    5. Communication & Structure: Is your final submission well-structured, concise, and easy for cross-functional teams to understand?

Tips for the Candidate

  • Focus on a few key points rather than trying to solve everything.
  • Be pragmatic: Show awareness that resources (time, engineering capacity) are limited.
  • Use the Data: Reference the numbers we gave to justify or prioritize ideas.
  • Keep it Simple: This is a short assignment; we do not expect polished decks or fully refined wireframes—clarity of thought is what matters most.

How This Ensures Human-Driven Responses

  1. Original, Custom Data: The metrics, feedback, and funnel drop-offs are fictional and not part of any public data set. AI-based LLMs cannot produce the exact "correct" solution because there is no single answer—only thoughtful analysis and creativity.
  2. Open-Ended Strategy: The case requires nuanced, product-thinking responses grounded in these custom insights. While AI can generate product ideas, it lacks the specific context of this fictional scenario that only a human, carefully reading and interpreting the data, can provide at depth.

Final Note

Feel free to present your case study in a format of your choice (Google Docs, Slides, PDF). We do not expect high-fidelity UI designs—focus on clear rationale, prioritization, and feasible actions that reflect strong Associate Product Manager thinking and communication skills.