Positioning
Specialisation, category, segment and core messages.
AI Recommendation Sprint
Turn audit priorities into published changes and a follow-up measurement.
The Sprint implements selected hypotheses across positioning, content, data and sources. Its scope comes from the audit, not from a universal package.
8,900–19,900 PLN net
A Sprint requires a diagnosis, an owner on the client side and the ability to publish changes.
Sprint logic
Gap, action, deliverable, metric
1Audit priority
2Responsibility scope
3Published changes
4Publication dates
5Comparable follow-up measurement
No improvement is also an experiment result and should lead to another decision.
Potential scope
We only work on gaps identified in the diagnosis.
Content and pages
Services, products, use cases, comparisons and expert profiles.
Evidence and distribution
Owned, partner and independent sources.
Measurement
Change documentation and the next control wave.
Collaboration
AiVisible can implement the work or collaborate with your team.
Before work begins, we assign responsibility for copy, design, development, approvals and third-party publication.
Sprint backlog
owner for every task
publication dates
acceptance criteria
scope exclusions
Outcome
A Sprint ends with a decision, not a promised percentage increase.
published changes
scope documentation
control measurement
description of improvement or no change
recommendation for the next iteration
Sprint workflow
Every change follows the same accountability cycle.
Wave comparison
Baseline, publication and follow-up measurement
Active system structure
T0
Baseline
- control question core
- models and date
- full answers
Log
Implementation log
- asset and owner
- publication date
- scope of change
T1
Follow-up wave
- the same core
- the same definitions
- description of the difference
Exploratory questions are labelled separately
Model changes are recorded as limitations
No difference is also a result
1. Prioritisation
We select hypotheses by importance, feasibility and dependencies.
2. Specification
We define the deliverable, owner, acceptance criteria and exclusions.
3. Production and publication
AiVisible delivers the agreed elements or supports the client team.
4. Measurement and decision
After the observation window, we compare the control sample and choose the next step.
Example deliverables
A Sprint may create different assets, but never all of them automatically.
specialisation or use-case page
expert profile and capability description
selection guide or comparison
structured product information
process, limitation and fit criteria section
structured-data specification
material for a partner or external source
distribution and maintenance plan
Starting conditions
Without these conditions, a Sprint should usually not begin.
an agreed baseline
a real differentiator or useful information to communicate
an approval owner
access to the site and relevant data
the ability to publish
acceptance that improvement cannot be guaranteed
Next step
Check whether you have the diagnosis and conditions needed for implementation.
If no audit has been completed, we will begin by defining the baseline.
FAQ
Questions before you decide
Can we purchase a Sprint without an audit?
Only when there is a sufficiently documented diagnosis and comparable baseline. Otherwise, we define the baseline first.
Does the price include copy, design and development?
Only where explicitly included before the start. Responsibility for every deliverable, approval and publication is assigned in the scope.
How long does a Sprint take?
The timeline depends on the number of deliverables, team availability, development and publication. We confirm it for the specific backlog.
What if the result does not improve?
We document the lack of change, verify delivery and measurement conditions, then decide whether to revise the hypothesis, run another experiment or stop.