Record the assumption
MIRENA names the asset, user state, journey stage, expected positive signal, expected challenge, and measurement window.
Topical Mapping · Operator
Turn published behavior into controlled updates to the map.
A topical map begins as a set of assumptions about ownership, routes, proof, passage order, action, support, and structured data. MIRENA records those assumptions, observes approved signals, makes a decision, assigns an owner, and turns repeated lessons into governance rules.
Operator level
Internal MIRENA workflow
Static explanation
Human review required
InputMap assumptions, expected signals, measurement windows, approved analytics, search, links, proof, action, support, and feedback data.Evidence enters before the decision.
DecisionKeep, revise, test, hold, suppress, merge, split, reroute, or promote the related assumption.The state remains visible.
OutputA feedback record with assumption, signal, interpretation, confidence, decision, experiment, owner, rollback, monitor, and governance update.The handoff carries the reasoning.
Next routeTopic Governance RulesDownstream work starts only after approval.
Internal MIRENA method
The decision moves through six controlled stages.
The sequence keeps the source, role, evidence, ownership, risk, and next route connected.
Ingest approved signals
Search, analytics, links, forms, support, feedback, and review data enter through evidence controls.
Interpret by context
MIRENA separates signal, likely cause, segment, confidence, risk, and page role.
Choose the smallest action
Keep, revise, test, hold, suppress, merge, split, reroute, promote, or request more evidence.
Assign experiment and owner
The change receives a hypothesis, guardrail, review window, rollback state, owner, and monitor.
Update the map and governance
Validated lessons revise page roles, links, proof, order, actions, support, schema holds, and future rules.
Decision model
A useful feedback loop closes four decision groups.
The goal is controlled learning, not endless editing.
Predict
Record the map assumption and expected behavior.
Observe
Collect approved signals across search, journey, trust, effort, action, and support.
Decide and test
Choose the smallest supported change and define the review window.
Learn and govern
Monitor the result, keep or roll back the change, and update the rule set.
Illustrative MIRENA output
Illustrative assumption record
The record connects a planned route with the evidence required to revise it.
AssumptionStrategists need a process link after the behavioral link model
Positive signalClick followed by target engagement
Challenge signalLow use after deep reading
Window28 days
DecisionTest a clearer anchor and earlier placement
OwnerInternal link workflow
RollbackRestore previous anchor and placement
Governance updatePrimary process links need task specific anchors
Guardrails
The method protects the map from predictable failure.
Do not refresh from rankings alone
Traffic can improve while the route, trust, or task still fails.
Do not confuse signal and cause
An observed pattern needs context, confidence, and a testable explanation.
Do not change several variables without control
Small owned experiments preserve learning.
Do not let lessons disappear
Repeated validated outcomes should update governance.
Connected routes
Move only into the workflow that owns the next decision.
Satisfaction Signals
Continue only when the current decision and evidence are ready.
Open Satisfaction SignalsTopic Governance Rules
Continue only when the current decision and evidence are ready.
Open Topic Governance RulesTrust Paths in Topical Maps
Continue only when the current decision and evidence are ready.
Open Trust Paths in Topical MapsTopical Mapping Hub
Continue only when the current decision and evidence are ready.
Open Topical Mapping HubQuestions
Feedback Loops for Topical Map Refreshes questions.
What is a topical map feedback loop?
It turns approved user and search signals into controlled changes to page ownership, routes, proof, order, action, support, and governance.
What is an assumption record?
It states the asset, user state, expected behavior, challenge signal, source, window, owner, and possible decision.
What signals can MIRENA use?
Approved search, analytics, link, proof, action, form, support, site search, feedback, and review signals.
Does every signal trigger a refresh?
No. MIRENA checks context, confidence, segment, risk, and the smallest useful action.
How does the loop update governance?
Repeated validated lessons become rules for future pages, links, proof, actions, and refresh decisions.
Next route
Give MIRENA the evidence. Receive the governed decision and handoff.
Founder access costs €20 for each 30 day period, excluding VAT, for one seat and one active MIRENA instance.
OpenAI account rules, model access, plan charges, and usage limits remain separate. MIRENA output requires factual, editorial, technical, legal, and business review.