Ask whether the right thing is tracked
An installed analytics tool does not guarantee that the event taxonomy can answer the product question.
How it works
From one question to a learning loop.
Sightspool begins with the uncertainty the team is carrying—not with a dashboard or a preselected research method. It connects what is known, routes what is missing and keeps the decision alive after the change ships.
The complete loop
Sightspool carries the work past the finding.
Research is a stage when the evidence requires it. A recommendation is useful only when it changes an owned action and the team later learns from the result.
- 01
Frame the question
The team states what it is trying to understand, why it matters now, who owns the decision and what a useful answer must change.
- 02
Connect the context
Sightspool brings together approved behavioural, commercial, customer and product sources, with provenance and limitations visible.
- 03
Validate the signal
The system checks that the event or evidence exists, the measure matches the question and the sample is sufficient before treating it as a read.
- 04
Route the investigation
Vera selects the relevant research, interaction and service-design lenses. Specialists work in parallel when the question crosses disciplines.
- 05
Recommend and decide
The studio produces a recommendation, confidence, downside and next move. Human assurance enters where necessary; the client makes the final call.
- 06
Watch and learn
The action receives an intended outcome and review window. After implementation, the observed, null or negative result updates the customer’s context.
PostHog and the evidence layer
Analytics is a sensor. Sightspool operates around it.
Sightspool does not rebuild session replay, funnels, dashboards or surveys. It uses those sources to answer a different question: what does the UX function need to understand and do next?
Keep unknown different from zero
A missing event, a measured zero and an insufficient sample lead to different decisions and remain different product states.
Join behaviour to context
Behaviour becomes more useful when the studio can relate it to customer intent, account structure, revenue and what changed in the product.
Turn the read into an action
Sightspool routes the evidence through the appropriate UX discipline and preserves the recommendation, downside, decision and outcome.
Where humans enter
Escalation is part of the system, not a failure of it.
Sightspool concentrates human attention on work where consequence, ambiguity, participant safety or professional responsibility justifies it.
Senior review
A consequential recommendation needs a practitioner to examine the evidence, logic, limitation and downside.
Sensitive research
Participant safety, difficult topics and high-risk recruitment or interpretation remain deliberately human-led.
Unresolved tension
When specialists disagree and the evidence cannot settle it, the system records the tension and escalates rather than bluffing.
!
The client still decides.Sightspool and its senior assurance layer advise on customer and experience uncertainty. The authorised product leader owns the final decision, roadmap and delivery.
The managed start
Three months to establish the function.
The founding offer is a managed implementation of Sightspool, including source setup, one active Decision stream and senior UX assurance.
Month one · connect
Agree the source boundary, connect approved context, validate the signal and choose the first consequential question.
Month two · operate
Run the specialist studio, record dispositions and escalations, and convert the recommendation into a client-owned action.
Month three · learn
Return to the implemented action, close the first outcome loop and assess what continues without intensive human mediation.
Start with a real question
Start with the uncertainty your team keeps carrying.
A working demo will show the operating loop against one real product question, without asking you to pretend your current data is cleaner than it is.