Continuous Product Lifecycle Management
Product Health Dashboard
Turning product performance into actionable signals.
MTD is compared with the same days last year.
Portfolio overview
Click a product to explore its performance ↓Product performance
Selected category
Signal screening
PM reviewReading the signal
Priority observations
PM Diagnosis Brief
Hypotheses are not validated root causes. Consumer research belongs in Diagnose.
01A / SIGNAL CAPTURE
Signal Intake & Hypothesis Brief
Capture automated red flags and subjective weak signals. Separate what is observed from what is assumed, then decide what must be checked before opening a PM diagnosis project.
What signal did we observe?
What should we validate?
Hypotheses are available immediately in Diagnose, even if Gate 1 is still a draft. Neither a signal nor internal feedback proves the root cause.
Gate 1 · Open Diagnosis
Optional: record a formal review of signal relevance, evidence needs and scope. All tabs stay accessible.
PULSE 02 / DIAGNOSE
From signals to validated insights.
Lead a focused PM project: define the performance issue, develop competing hypotheses, review existing evidence, and run targeted consumer research where the evidence is insufficient.
1. Identify the issue
2. Formulate hypotheses
These are potential causes — not verified root causes. Select each hypothesis you want to investigate.
Diagnosis workflow
Initial hypotheses captured in Monitor flow into Step 3 below. Define how to test them, collect findings in Step 4 and record one clear PM decision in Step 5.
03 · Hypothesis validation & research method
04 · Findings and evidence log
05 · PM diagnosis decision & sign-off
02A / HYPOTHESIS VALIDATION
3. Validate Hypotheses from Monitor
Choose which initial hypotheses to test, select the most suitable research method and plan the validation. The competing hypotheses in Step 2 are optional.
Research plan & validation setup
Gate 2 · Authorize Research
Optional: record resource authorization before actual fieldwork. Demo research and draft findings can be explored anytime.
Consumer research tracker
A completed research task does not automatically validate a hypothesis. The conclusion must specify what the evidence supports, contradicts, or leaves unresolved.
02B / EVIDENCE RECORD
4. Research Findings & Evidence Log
Record what research actually found and attach a source link when available. Every finding remains linked to the hypothesis being tested.
Evidence collected
No evidence recorded.
02C / PM DECISION
5. Diagnosis Conclusion & Proposed Decision
Summarize what the evidence says, decide whether the hypothesis holds and determine the next step. One conclusion, one decision and one sign-off.
Prioritization · illustrative judgment, not a forecast
50% potential impact + 30% urgency + 20% evidence confidence
This score helps structure a decision. It does not establish causation or quantify the actual monetary impact.
Gate 3 · Evidence Sign-off / Go–No Go
Optional formal sign-off of collected evidence and the proposed next step; browsing Plan is always available.
PULSE 03 / PLAN
Design the right improvement.
Use the diagnosis to choose an intervention, assess its expected value and feasibility, and define a clear product improvement plan before committing resources.
1. Develop improvement options
2. Prioritize the intervention
Use a simple editable demo comparison. These are hypotheses about potential interventions, not measured financial forecasts.
Impact, evidence, feasibility, urgency and capability at equal weights. Directional discussion tool, not a causal impact estimate.
3. Define the Product Improvement Plan
Make the next move specific enough to execute cross-functionally.
03A / IMPROVEMENT PLANNING
Scope, Feasibility & Impact Scenario
The suggested interventions above are illustrative. Add a custom option if your research leads to a different recommendation.
Define the intervention
Feasibility & capability
Feasibility includes time, resources and capability. Rate capability separately so cross-functional resource gaps remain visible.
What could this improvement add to sales?
Simple example: if current sales are Rp 10 billion and the improvement adds 3%, that is Rp 0.3 billion in possible additional sales. This is an assumption for discussion, not a forecast.
Current sales × assumed uplift ÷ 100. Illustrative only; not a forecast.
Execution timeline
Gate 4 · Approve Improvement Project
Approve the intervention, objective, lead, supporting teams, feasibility, budget, timeline, risks and expected impact before execution. Define success KPIs in Execute.
PULSE 04 / EXECUTE
Turn the plan into measurable action.
The PM coordinates cross-functional delivery, resolves blockers, documents outcomes, and hands results back to Monitor for the next product health review.
1. Cross-functional execution tracker
You can preview this stage before completing or approving your plan.
2. Project control & issue log
3. Close execution & hand back
Completing execution does not automatically prove business impact. The next Monitor review compares actual results against the pre-agreed KPI and target.
04A / CROSS-FUNCTIONAL CONTROL
Kickoff, Milestones & Resource Links
Control project delivery and hand off the final outcome to Monitor. PM coordinates improvement projects; BAU commercial metrics remain owned by the relevant functions.
Project resources
Milestone dates & owners
Success KPI & outcome review
No approved project objective yet.
Record measured outcomes rather than assuming that an implemented project improved sales.
Gate 5 · Close Project & Return to Monitor
Confirm completion, recorded results, learning and the next KPI review date.
Demo assumptions & KPI definitions
All figures are illustrative dummy data, loosely sized to represent three different Kahf face-care formats; they are not company results, market research, or performance forecasts. Sales are dummy net sales in Rp billions. MTD = Sep 1–27, 2026 vs Sep 1–27, 2025. L3M / L6M / L12M include the partial Sep MTD and compare with matched months of the prior year. Growth vs Target (pp) = actual period YoY growth minus dummy period growth target; the target is weighted using last-year sales. Availability = average on-shelf availability in selected period; Rating = illustrative consumer rating; Complaint Rate = dummy verified complaints per 10,000 sold units. Thresholds are illustrative and must be calibrated with actual company data. All example hypotheses, research outputs, and proposed interventions in subsequent steps are fictional illustrations, not validated findings. The dashboard detects signals; it cannot establish the cause of an issue.