PM Lifecycle Decision Engine
Decisions that survive the next quarter.
MezianBezaf threads research, competition, AI feasibility, and MVP planning into one connected decision engine. Every assumption inherits the prior step. Every verdict carries an audit trail. AI is a partner, not a checkbox.
3-minute guided walkthrough :: see how a single decision flows through every cycle.
The story you will follow
One product decision, end to end.
To show how the cycles connect, we will thread the same synthetic product through every layer of the engine. You will watch a vague problem turn into a research strategy, then into a shortlist of competitive opportunities, then into an AI feasibility verdict, then into a shippable MVP plan with measurable signals and a final go / no-go.
The starting point
“Mid-market PMs are pained by roadmaps that decay every sprint. They cannot tell which items are still real, which got silently superseded, and which never had buy-in. Strategy and execution drift apart.”
Research Strategy
Configure the spine before research begins. Vision, KPIs, SMART goals, data controls, evidence rules, competitor pre-analysis, internal business analysis. Every downstream cycle inherits its rules from here.
- Project Setup + Calibration with SMART Goal taxonomy
- Data Controls (sensitivity, retention, regulatory class)
- External Data Sources (EDS) and Internal Business Analysis (IBA)
- Competitor Pre-Analysis Strategy (CPAS) at 3 levels
- KPI Framing inherited downstream
- Tamper-evident SHA-256 sign-off audit chain
Example data
SMART Goal
Raw statement
Cut roadmap-staleness incidents to under 10 per quarter by 2026-Q3 across all active mid-market projects.
Executive PRD
Synthesize Step 1 outputs into a one-page executive PRD. Inherited :: never re-entered. Sections compose from validated artifacts.
- Inherits vision + SMART goals + customer personas
- Pulls KPI Frame thresholds into the success section
- Generates exec summary + open questions automatically
- Sign-off cascades back to Step 1 if a change requires re-acceptance
Example data
Executive PRD : success criteria
- Staleness incidents tracked weekly via Slack + Linear integration.
- Q3 KPI threshold: 10 incidents/quarter or fewer; current baseline 47.
- Approver: PM lead + Eng VP.
Competitive Discovery
Turn the strategy into a decision-ready shortlist of opportunities. Compare your current state against competitors across every dimension. Project Discovery Lens computes a normalized rank and a per-competitor delta.
- Feature Table with row-per-dimension scoring
- 5-axis competitor scorecard (Market Position, Customer Value, Execution Capability, Economic Strength, Strategic Resilience)
- Project Discovery Lens (reach + competitive delta)
- AI Evaluation tagging :: Yes / No / Potential per Can-Do Idea
- Bulk Add with AI parsing of pasted notes
- Per-project visibility (hide a dimension without losing the data)
Example data
Can-Do Idea
AI-suggested updates from PR / Slack signals
AI Evaluation = YesAI Evaluation
Triggered when a Can-Do Idea, User Story, or Problem Log is flagged AI Evaluation = Yes. Nine layers gate the model before it can ship through MVP. Drop with reason at any step. Final Disposition cascades downstream.
- Step 0 Model Card (intake from upstream)
- Step 1 Confusion-Error Table (multi-run, dataset metadata)
- Step 2 APR-F1 + Criticality grading (corrected Accuracy formula)
- Step 3 Error Impact Mitigation (FN + FP pre-populated)
- Steps 4-7 :: MLOps, Staleness, Deployment, Live Performance
- Step 8 Final Disposition :: ship_to_mvp / iterate / defer / archive / kill
- AI partner :: compose Model Card, suggest Criticality + Severity
- LearningRecords on every closure (success + failure)
Example data
Step 1 : Confusion Matrix (held-out, n=5000)
MVP Strategy
Convert validated opportunities into a shippable plan. Three sub-steps that compound: Solution Assumptions package each candidate. Risk + Mitigation pressure-tests it. Final Shipment captures the launch package and the AI-composed PM Hypothesis.
- Step 1 Solution Assumptions :: Problem + Supporting Items + Solution Score
- Four-part Assumptions per supporting item (inherited to RMI)
- Step 2 Risk + Mitigation Impact :: weighted average, risk-adjusted, penalty-recovery, direct override
- Difficulty multiplier with auto-snap
- Step 3 MVP Final Shipment :: 15-column launch package
- AI-composed PM-syntax Hypothesis with Measurable Signal + Falsifiability + Decision Threshold
- Auto-seeded from Risk + Mitigation Shipped disposition
- Final verdict: In MVP / Defer / Phase 2 / Archive
Example data
Composed PM Hypothesis
We believe that an AI-suggested-updates feature, for mid-market PMs running active roadmaps, will result in roadmap-staleness incidents dropping below the 10/quarter target. We will know this is true when the staleness-incident telemetry shows a sustained reduction from 47 to under 10 per quarter for two consecutive quarters. We will know we are wrong if FN rate exceeds 25% in production OR PM satisfaction with suggestions drops below NPS +10. By 2026-Q3, if the signal does not hit threshold, we will pivot to a manual-review tool instead.
MVP Final Shipment
The closing decision row. Inherits the Hypothesis, MVP type, segment, success metrics, revenue streams, and reality-check loss. One Final verdict + signed-off rationale + handoff payload to execution.
- MVP Type :: Email, Piecemeal, Concierge, Fake Landing Page, Pitch Experiment, etc.
- Knows-You + Trust-You readiness chips
- Cost lines (Dev, Lost Opportunity) with override + computed totals
- Revenue streams with market-share, projected revenue, ROI, reality-check loss
- Verdict :: In MVP / No / Defer / Phase 2 / Archive
- Re-open + Risk Acceptance with audit
Example data
Final Shipment : row preview
How decisions get made
Partnership, not pipeline.
The engine moves work forward in a partnership between the team and the platform automation. People decide; AI extracts, suggests, composes, and gates :: never invents. Every artifact carries the team verbatim language. Every decision keeps a tamper-evident audit chain so future reviewers can trace why a verdict was made.
The team decides
PMs and stakeholders own every verdict. Sign-offs are scope-and-acceptance contracts, not detail freezes : detail changes within scope stay at PM discretion.
AI partners
Eight capabilities: ingest, digest, understand, extract, convert, learn, decide, partner. AI never invents claims; it preserves verbatim and marks unsupported parts as [TBD by team].
Cycles inherit
Step 1 outputs flow into every downstream cycle. Never re-entered. Edits propagate. Lineage from any decision back to its Research Strategy roots is one click.
Ready to see your own data flow through?
Create a workspace in under a minute. The first-run tour walks you through workspace setup, your first project, and the cycle you want to start in.