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M1_V2-P1-A01 — Plastic injection molding CEO audience

This audience targets the reusable CEO function at single-site plastic injection molding companies with 20–100 employees whose configured systems of record include spreadsheets and QuickBooks.

The definition tuple is a pre-call selection rule, not evidence that a named account has any selected problem. Every selected problem is a market_hypothesis; ask the questions below and do not assert the hypothesis as an account fact.

Global Shop Solutions ERP is selected as relevant competitive context for this audience. Selection does not establish that a named account uses or is evaluating it.

Definition tuple​

DimensionResolved value
MarketM1 — Vertical core (active)
VerticalM1_V2 — Plastic injection molding (active)
PersonaP1 — CEO; Executive leadership and ownership (approved)
Company size20_50, then 50_100
Location footprintsingle_site
Systems of recordspreadsheets, then quickbooks

The system list is unique and preserves the controlled catalog order.

Pre-call selection predicate​

signal_predicate: [] means no pre-call signal is currently selected. Audience membership is determined by the definition tuple alone; no signal may silently add, remove, or reorder a selected problem.

rejected_signals: [] means signal review recorded no rejected signal.

First-call discovery plan​

The canonical configuration has discovery_plan: null, so no audience-specific discovery plan has been approved. The starting state of each selected problem condition is unknown. The following canonical problem hypotheses may be tested as questions:

  1. For P_00010, do recurring management questions require transaction export and spreadsheet reconstruction because the operating system does not produce the views the company uses?
  2. For P_00011, do physical counts differ from recorded inventory, and does transaction review fail to identify where the variance entered?
  3. For P_00012, is a system replacement being planned without a tested, reconciled export of the required records and relationships?
  4. For P_00013, can the same item be run at materially different quantities, with quantity-dependent production economics and inventory carrying-cost exposure, while planning lacks a combined comparison of those factors?

Answers to these questions are discovery results. They do not retroactively become pre-call selection signals.

Market-persona context​

P1 is present in M1_V2.persona_ids, and the reusable persona catalog defines it as the CEO function for executive leadership and ownership. Its common titles are Chief Executive Officer, Owner, President, and General Manager; titles support contact matching only.

No resolving market_persona_catalog binding supplies market-specific role labels, expected transaction roles, a responsibility hypothesis, or a primary job for M1_V2 and P1. The audience-specific market_persona override is also null.

  • Role labels: unknown
  • Expected transaction roles: unknown
  • Responsibility hypothesis: unknown
  • Primary-job hypothesis: not rendered because no sourced situation, motivation, and desired-outcome tuple exists

Selected problems​

1. P_00010 — Management questions require spreadsheet reconstruction outside the operating system​

  • Canonical priority: 50
  • Canonical status: approved
  • Statement type: market_hypothesis
  • Tuple check: no controlled tuple value contradicts the problem situation, but the tuple does not establish that the mismatch exists.

Observable-signal questions:

  • Can users produce a ranked list of top-selling products from the operating system?
  • Does vendor or purchasing analysis require export and spreadsheet work?
  • Does the company say every reporting modality depends on Excel?
  • Is a requested management report assembled outside the system that owns the transactions?

Readiness chain:

P_00010 → S_00009 (approved) → no proof selected

Do not assert that a named ERP is generally incapable of reporting, that every company using it must export every report, any quantified delay, labor cost, or error rate, or that replacing it will eliminate all manual analysis.

2. P_00011 — Recorded inventory cannot be reconciled to physical stock​

  • Canonical priority: 45
  • Canonical status: approved
  • Statement type: market_hypothesis
  • Tuple check: no controlled tuple value contradicts the problem situation, but transaction-driven inventory and a current variance remain unconfirmed.

Observable-signal questions:

  • Does a physical count differ from the quantity recorded by the operating system?
  • Does the company describe its inventory counts as unreliable?
  • Do users report unexplained glitches while inventory quantities are maintained?
  • Can the team identify which transaction or process created a variance?

Readiness chain:

P_00011
  → S_00010 (approved)
  → PF_M1_V2_001 (approved; M1_V2 listed directly)
  → EV_M1_V2_001 (approved)

Do not assert an ERP vendor, application code, or employee caused a variance; that the mismatch caused stockouts, delay, or financial loss; or that replacing the system will make inventory accurate.

3. P_00012 — Replacement planning lacks a verified export of linked operating records​

  • Canonical priority: 45
  • Canonical status: approved
  • Statement type: market_hypothesis
  • Tuple check: no controlled tuple value contradicts the problem situation, but replacement intent and export readiness remain unconfirmed.

Observable-signal questions:

  • Can the company state whether it owns or can retain all data held by the incumbent system?
  • Has the assumed CSV export been tested against the required record set?
  • Are operational and accounting records linked in the incumbent system?
  • Does a completed export demonstrate that required document references remain connected?
  • If cutover has occurred, is the complete required incumbent record available in the replacement environment?

Readiness chain:

P_00012
  → S_00011 (approved)
  → PF_MULTI_007 (approved; M1_V2 listed directly)
  → EV_MULTI_008 (approved)
  → EV_PRODUCT_007 (approved)

The proof is bounded to sales-order and accounts-receivable invoice migration. It supplies no measured values and reports seven-vertical experience collectively rather than separately for each vertical.

Do not assert intentional vendor lock-in, permanent data loss, an unidentified omitted record, CSV completeness, or a migration timeline or cost.

4. P_00013 — Production quantity cannot be selected from total economic cost​

  • Canonical priority: 50
  • Canonical status: approved
  • Statement type: market_hypothesis
  • Tuple check: no controlled tuple value contradicts the problem situation, but variable viable quantities, quantity-dependent costs, demand, and carrying cost remain unconfirmed.

Observable-signal questions:

  • Does the company ask whether it should run a small quantity or tens of thousands of the same item?
  • Does the incumbent expose learning-curve functionality that the team cannot use for the required decision?
  • Does per-unit production cost change materially with run quantity?
  • Could expected scrap change the preferred run quantity?
  • Do planners need to compare candidate quantities with demand and the cost of holding excess finished inventory?

Readiness chain:

P_00013
  → S_00012 (approved)
  → PF_MULTI_006 (approved; M1_V2 listed directly)
  → EV_PRODUCT_002 (approved)
  → EV_PRODUCT_006 (approved)

S_00012 compares production cost only. It does not calculate the total economic cost required by P_00013 because expected-stock valuation and inventory carrying cost are absent. PF_MULTI_006 has not been executed and its seven-vertical breadth is not evidenced per vertical.

Do not assert an optimal quantity, that a larger or smaller batch necessarily lowers total economic cost, any quantified outcome, or that AI or a dashboard can select a quantity without complete and timely inputs.

Competitive context​

C_00001_GLOBAL_SHOP — Global Shop Solutions ERP​

  • Lifecycle status: approved
  • Audience use: relevant competitive context only
  • Account use or evaluation: unknown

The approved profile describes Global Shop Solutions ERP as a manufacturing ERP whose reviewers associate value with production scheduling, quote-to-order speed, operational visibility, and consolidating disconnected systems. It frames the central fit question as whether the buyer can support the training, data discipline, and technical ownership needed to realize that value.

The profile reports a G2 rating of 3.9 out of 5 from 20 reviews as of 2026-08-02.

Best-fit guidance:

  • Manufacturers seeking one system across orders, inventory, production, purchasing, quality, and finance.
  • Teams prepared to standardize work, maintain clean operating data, and invest in implementation and training.
  • Organizations with an internal technical owner for reports, dashboards, integrations, and deeper customization.

Reported strengths:

  • Production scheduling and control.
  • Quote-to-order flow and efficient order entry after processes and data are established.
  • Consolidation of fragmented spreadsheets, accounting tools, drives, and personal files.
  • Operational visibility across dashboards, CRM, labor, inventory, cost, and quality.
  • SQL/ODBC access, custom reports, dashboards, integrations, and automation for technically capable teams.

Reported limitations:

  • Deeper customization may require substantial technical ownership and time.
  • Reviewers describe initial learning, training, and migration-direction challenges.
  • Reviewers describe extra screens or clicks in some invoicing, quoting, and receivables workflows.
  • One reviewer describes a scheduling workaround for tooling that can run on multiple work centers.

These are reviewer-reported experiences, not universal product behavior. Several critical reviews date from 2018–2019.

Naologic differentiation to test:

  • Reproduce one real quote, order, work center, and schedule constraint, with acceptance criteria defined before recommending replacement.
  • Test quote-to-order continuity without recreating the order.
  • Test schedule reflow against dependencies, capacity, working hours, holidays, maintenance, and started work.
  • Measure response time using the buyer’s schedule size and concurrency.
  • Classify each required change as native, configured, integrated, roadmap, or unavailable.

Discovery questions:

  • Where does the current system stop matching physical production reality?
  • When priorities change, what must planners rebuild manually, and what work must remain fixed?
  • How much internal or consultant effort is required to maintain reports, dashboards, integrations, and workarounds?
  • What slows the path from accepted quote to released order today?
  • What would you need to see in your own data to trust scheduling and migration?

Do not claim:

  • That Global Shop is slow, hard to use, outdated, or a poor fit for every manufacturer.
  • That one review establishes general product behavior.
  • That Naologic is faster, easier, cheaper, implementation-free, or consultant-free without a buyer-specific test.
  • That schedule reflow remains interactive at every data volume or concurrent-user load.
  • That a configured, integrated, or roadmap requirement is native.

Competitor-specific language may be used only after the profile is approved and matching account or buyer-confirmed evidence establishes that the account uses or is evaluating Global Shop Solutions ERP.

Audience-specific framing and do_not_assert​

The canonical configuration has framing: null. No audience-specific lead_with, outcome_bar, or do_not_assert override is configured.

The canonical prohibitions rendered under each selected problem remain active. No problem hypothesis may be turned into an account fact without matching account evidence.

Outstanding before call-sheet generation​

  1. A complete canonical market-persona binding for M1_V2 and P1 is missing. The vertical lists P1, but binding-derived role labels, expected transaction roles, responsibility, and primary job are unresolved.
  2. Every selected problem has confirmation_questions: []; there is no opening Q&A. The audience's discovery_plan is also unknown.
  3. P_00010 reaches no proof. PF_M1_V2_001 is approved, but its safe artifact still requires inspection before execution.
  4. Every selected problem has evidence_ids: [], so each remains a question rather than a supported account claim.
  5. Every capability in S_00009, S_00010, S_00011, and S_00012 has evidence_ids: []; product-implementation prose is not itself a canonical evidence reference.
  6. PF_MULTI_007 supplies no measured reconciliation values, and its seven-vertical applicability is reported collectively rather than observed separately in each vertical.
  7. S_00012 and PF_MULTI_006 do not establish the total-economic-cost result described by P_00013. The comparison has not been executed, and the ordered-quantity mapping and pivot configuration remain unverified.
  8. C_00001_GLOBAL_SHOP is approved. Its external review claims and product implementation claims do not resolve through canonical evidence records. Competitor-specific executable language remains blocked until lifecycle and evidence review are complete.
  9. Even after competitor approval, account or buyer-confirmed evidence must establish that a named account uses or is evaluating Global Shop Solutions ERP before competitor-specific language is activated.

W11 is not eligible because no approved opening Q&A exists. Enrichment does not change lifecycle status or make the audience eligible. An unactivated competitor reference does not otherwise block an eligible call sheet.

Source records​

Definition sources:

Problem and chain sources:

Competitive source:

Canonical configuration​

This profile is enriched from M1_V2-P1-A01.yaml. Edit that file and rerun enrich-audience; do not edit this profile as the source.