Everstox — Building a Roadmap from Scratch with the Opportunity Solution Tree
How structured discovery, cross-functional workshops, and iterative delivery produced the most-utilized feature in inventory management — shipped in time for peak e-commerce season.
No roadmap, no clear problems — just an inherited product and noise
Joining Everstox as Senior PM for inventory management meant walking into a blank slate. There was no existing roadmap for the inventory team, no documented problem areas, and no structured way to decide what to build next. The risk: defaulting to building whatever stakeholders shouted loudest, rather than what customers actually needed.
The real danger of no roadmap
Without a structured discovery process, teams build based on gut feel, loudest voice, or last customer complaint — all of which produce low-impact work that doesn't compound over time.
Six steps to go from zero signal to a prioritized roadmap
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1
Synthesized past customer conversations
Reviewed last quarter's Account Management meeting notes to extract every inventory-related topic mentioned by customers — turning existing data into early signal without a single new meeting.
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2
Built a targeted questionnaire
Translated synthesized topics into a structured questionnaire sent to customers, identifying the highest-impact pain areas by volume and severity of response.
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3
Ran intensive user interviews
Conducted in-depth interviews across a mix of large and small merchants to get qualitative depth — understanding not just what was broken, but why it mattered and how it affected their business.
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4
Ran a cross-functional prioritization workshop
Brought together Business, Design, and Engineering stakeholders. Used pyramid prioritization to rank problems by strategic importance and shared alignment — not just PM opinion.
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5
Built hypotheses and scored them
For each prioritized problem, created hypotheses and evaluated them using an Effort vs. Impact matrix backed by business cases — making prioritization transparent and defensible.
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6
Delivered the roadmap
The output of the full OST process was a structured, problem-led roadmap the entire team trusted — because they helped build it.
Framework used
Opportunity Solution Tree (OST) — adapted to the Everstox context by layering in pyramid prioritization and business case scoring, making it both discovery-grade and stakeholder-ready.
Stock reconciliation — the silent killer of merchant trust
The discovery process surfaced one dominant problem: stock discrepancies. Merchants were experiencing stockouts and inventory mismatches that caused fulfilment errors, especially during high-volume e-commerce periods. The root issue was the absence of a reliable reconciliation mechanism between recorded and actual stock levels.
Prototype → validate → build → ship before peak season
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Phase 1
Prototype
Built an early prototype of the stock reconciliation feature and shared it with a selection of customers. Feedback confirmed strong demand — merchants recognized this as a core need.
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Phase 2
Technical Architecture
Assessed technical constraints carefully. To avoid risk to the core database, the solution used a replica database approach — importing only specific columns needed for reconciliation. This protected production stability while enabling the feature.
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Phase 3
Iterative Delivery
Built and shipped in iterations, with a deliberate target: have correct, reconciled stock data live before the e-commerce peak season — Black Friday, Cyber Monday, and the holiday period — when stock accuracy is business-critical.
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Phase 4
MVP Rollout
Released the MVP to both small and large merchants simultaneously, ensuring feedback covered the full range of use cases and scale requirements.
Of customers converted and actively using the feature weekly after rollout.
Of customers utilized stock reconciliation at least once per month.
Three things this case study proves
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01
A structured framework produces trusted roadmaps. OST gave the entire team — business, design, and engineering — a shared language and shared ownership of the roadmap.
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02
Existing data is underused discovery gold. Synthesizing past AM meeting notes cost nothing and surfaced early signal before a single user interview was scheduled.
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03
Timing is a product decision. Shipping before peak e-commerce season wasn't luck — it was a deliberate delivery target set during planning, which made the feature immediately high-stakes and measurable.
Topics covered
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