The living scorecard for VP coming to life.

✓ 10/10 looks like: The CEO knows current period direction and magnitude in seconds.

✗ Failure it kills: The period read is a late spreadsheet or a debate over which numbers count.

✓ 10/10 looks like: Profit-share is defensible from card to line item.

✗ Failure it kills: Trust depends on a black-box number nobody wants to challenge until it is too late.

✓ 10/10 looks like: The CEO can name the driver behind a metric move before the next meeting.

✗ Failure it kills: A KPI moved, but nobody knows whether it was mix, timing, partner behavior, or data quality.

✓ 10/10 looks like: Supply commitments and inbound dates are visible without asking Ops for a manual rollup.

✗ Failure it kills: The CEO sells or promises against supply that is not actually committed or arriving.

✓ 10/10 looks like: Cash exposure is a live operating fact, not a month-end discovery.

✗ Failure it kills: AR risk hides behind revenue until collections becomes urgent.

✓ 10/10 looks like: The CEO starts with the decisions and questions that matter today.

✗ Failure it kills: The cockpit is generic and the executive still has to ask for the real brief.

✓ 10/10 looks like: Sales knows where to spend the day and what to say.

✗ Failure it kills: Account follow-up depends on memory, inbox search, and whoever shouted last.

✓ 10/10 looks like: Sales can see the demand gap and the best available answer.

✗ Failure it kills: Demand lives in anecdotes while supply is committed elsewhere.

✓ 10/10 looks like: Sales quotes from a range and price they can defend.

✗ Failure it kills: A buyer gets an offer that is unavailable, mispriced, or missing proof.

✓ 10/10 looks like: Sales and Ops share the same view of pharmacy demand and account status.

✗ Failure it kills: Retail demand is scattered across calls, emails, and stale account notes.

✓ 10/10 looks like: Ops can answer arrival status in seconds with a sourced ETA and confidence band.

✗ Failure it kills: Nobody can tell a buyer where the order is until someone manually chases a partner.

✓ 10/10 looks like: The responsible party and impact are visible on the detail page without reconstructing the chain.

✗ Failure it kills: The team argues from anecdotes while product, cash, and margin keep sitting still.

✓ 10/10 looks like: Ops moves from red status to approved chase in one click, with the loop tracked back to the PO.

✗ Failure it kills: The row is red but the next step is still a meeting, a Slack thread, or a copied email.

✓ 10/10 looks like: The team can see where product and margin are accumulating before the month-end surprise.

✗ Failure it kills: Stage counts look fine while the expensive product is stuck in the wrong place.

✓ 10/10 looks like: Ops starts with the right late and at-risk work, already reconciled to rows.

✗ Failure it kills: The team expedites the loudest order instead of the most important one.

✓ 10/10 looks like: Stage flow is readable, pivotable, and aligned to the underlying rows.

✗ Failure it kills: A pretty funnel hides aged or valuable work stuck in one stage.

✓ 10/10 looks like: Every PO row carries trusted economics with provenance.

✗ Failure it kills: Ops optimizes movement while unknowingly moving bad-margin work first.

✓ 10/10 looks like: The PO detail page is the canonical answer for status, terms, and money.

✗ Failure it kills: Deep-dive still requires opening docs, finance, and messages in separate places.

✓ 10/10 looks like: Anyone with access can answer location and ETA from the PO spine.

✗ Failure it kills: Status depends on the one person who last talked to the carrier.

✓ 10/10 looks like: Ops and Sales know whether a supplier deserves the next order.

✗ Failure it kills: A supplier’s latest excuse resets the memory of every previous miss.

✓ 10/10 looks like: Ops opens directly into the day’s operational constraints.

✗ Failure it kills: The shift begins by rebuilding the state of the floor and inbound flow.

✓ 10/10 looks like: Supply is evaluated by fit and feasibility, not just availability.

✗ Failure it kills: The team buys or sells supply that looks available but cannot move or fit demand.

✓ 10/10 looks like: Batch risk is visible while there is still time to act.

✗ Failure it kills: Inventory looks fine until a batch cannot be sold or supported with documents.

✓ 10/10 looks like: Logistics risk is visible and actionable at the leg level.

✗ Failure it kills: Excursions surface only after a customer, carrier, or regulator asks.

✓ 10/10 looks like: Ops can see where product is and whether conditions stayed inside guardrails.

✗ Failure it kills: A shipment arrives with unknown condition history and a delayed quality decision.

✓ 10/10 looks like: The customs broker has the full current package and can clear quickly.

✗ Failure it kills: A border delay starts because the right documents live in separate systems.

✓ 10/10 looks like: Finance can explain the money from summary to source.

✗ Failure it kills: The business runs from operational truth while finance finds a different truth later.

✓ 10/10 looks like: Admins can set access without guessing what each role can see.

✗ Failure it kills: People either lack the access to do their job or see more than the agreement allows.

✓ 10/10 looks like: Each role starts with a short queue of decisions that matter today.

✗ Failure it kills: Everyone opens five screens and still misses the thing that was becoming expensive.

✓ 10/10 looks like: Any role can understand where their work fits and what their handoff affects.

✗ Failure it kills: Teams optimize their own task while breaking the next link in the chain.

✓ 10/10 looks like: ETA changes are explained before they become trust problems.

✗ Failure it kills: The promised date remains green until the day it becomes obviously wrong.

✓ 10/10 looks like: Questions become grounded answers with one-click next steps.

✗ Failure it kills: Chat sounds confident but cannot prove the answer or act on it.

✓ 10/10 looks like: Users know when the truth is clean enough to act and when it is not.

✗ Failure it kills: Bad data quietly poisons ETAs, finance, and partner promises.

✓ 10/10 looks like: The right partner gets the right contextual message without copy-paste risk.

✗ Failure it kills: Communication leaves VP, loses context, and never closes the operational loop.

✓ 10/10 looks like: The network and permissions are visible enough to trust cross-company work.

✗ Failure it kills: Sharing is either too manual to use or too opaque to trust.

✓ 10/10 looks like: QA sees the anomaly and citation before release work proceeds.

✗ Failure it kills: A mismatch hides in a PDF until it delays release or triggers rework.

✓ 10/10 looks like: QP can make and defend a release decision from one queue.

✗ Failure it kills: Release waits while someone searches across inboxes, drives, and systems.

✓ 10/10 looks like: The release dossier is ready for QP review in minutes with citations beside every key fact.

✗ Failure it kills: QA spends six hours hunting, copying, and second-guessing documents.

✓ 10/10 looks like: Ops books the best route with constraints already checked.

✗ Failure it kills: Freight is selected outside the system and the consequences appear later.

✓ 10/10 looks like: Commercial knows what is owed, why, and what blocks payment.

✗ Failure it kills: Processor economics are buried inside distributor-centric finance.

✓ 10/10 looks like: Technicians catch drift while it is still correctable.

✗ Failure it kills: A condition issue becomes a yield or quality issue before anyone sees it.

✓ 10/10 looks like: Grow and commercial teams share a live yield truth.

✗ Failure it kills: Sales plans against a yield number that cultivation no longer believes.

✓ 10/10 looks like: The CoA is ingested, classified, routed, and visible to every permitted role without waiting on one person.

✗ Failure it kills: A lab result sits in an inbox while downstream release and sale dates slip.

✓ 10/10 looks like: The team can approve a reasoned remediation plan and execute communications from the same screen.

✗ Failure it kills: A bad batch creates scattered opinions, slow emails, and unclear ownership.

✓ 10/10 looks like: Producer Sales knows what is allocated, what is committed, and what needs a chase.

✗ Failure it kills: Producer-side selling depends on distributor updates and manual doc forwarding.

✓ 10/10 looks like: Producer Finance sees expected cash and blockers without asking Sales or Ops.

✗ Failure it kills: Payment timing is reconstructed from emails after cash is already late.

✓ 10/10 looks like: Every user sees the promises they owe others and the evidence needed to keep them.

✗ Failure it kills: Tasks live in memory, meetings, and inboxes, so handoffs stall.

✓ 10/10 looks like: The retailer can name the competitor products worth reacting to and compare them apples-to-apples.

✗ Failure it kills: A dashboard of everything competitors carry wastes hours and treats weak comparables as signal.

✓ 10/10 looks like: Buyer finds eligible batches quickly and trusts the facts.

✗ Failure it kills: Buyer has to request CoAs or expiry details before deciding.

✓ 10/10 looks like: Buyers replenish the right product before stockout without inheriting bad shelf-life.

✗ Failure it kills: Popular strains go out of stock or get overbought too close to expiry.

✓ 10/10 looks like: Observer buyers always know what exists, where it is, and whether they can act on it.

✗ Failure it kills: Buyers keep asking for batch availability through email, phone, or WhatsApp.

✓ 10/10 looks like: Retailers get a timely, trusted answer to “when is it coming back?” without chasing.

✗ Failure it kills: Demand leaks because stock updates are manual and late.

✓ 10/10 looks like: Each store has a trusted buy list that protects favorites, avoids over-skew, and respects stock rules.

✗ Failure it kills: Assortment balloons, dead stock ties up cash, and the buy list gets rebuilt by hand.

✓ 10/10 looks like: Each price recommendation shows whether the move changes behavior or only gives away margin.

✗ Failure it kills: The retailer keeps chasing cheaper prices without knowing whether the cut worked.

✓ 10/10 looks like: Pharmacist browses real available products with real supporting documents.

✗ Failure it kills: The catalog is a marketing list disconnected from batch proof.

✓ 10/10 looks like: Product packages carry useful market feedback, not just lab and logistics facts.

✗ Failure it kills: Qualitative feedback disappears into conversations and never improves the next sale.