Stakeholder Goals are a core concept in Lookback.
They capture what matters to the people who will act on research - and make that intent explicit, persistent, and usable throughout a project.
They are not requirements, KPIs, or success criteria.
They are lenses for attention.
What Stakeholder Goals are
Stakeholder Goals describe:
questions stakeholders care about
risks they want to reduce
assumptions they want validated
themes they want visibility into
Examples:
“Understand why users abandon onboarding”
“Learn how pricing is perceived by small teams”
“Identify risks that could block enterprise adoption”
Goals help researchers stay oriented - especially as projects grow, rounds multiply, and evidence accumulates.
What Stakeholder Goals are not
Stakeholder Goals are not:
acceptance criteria
hypotheses to be proven
success metrics
instructions to the researcher
They do not define what must be true.
They define what we want to pay attention to.
Multiple goals can coexist - and even conflict - within the same project.
Where Stakeholder Goals live
Stakeholder Goals live at the Project level.
They:
apply across all rounds and sessions
persist over time
provide continuity as research evolves
This is intentional.
Goals describe the why of the project, not the mechanics of a single study.
How Stakeholder Goals are created
Stakeholder Goals can enter a project in two different ways — with different defaults and responsibilities.
1. Automatically generated from Stakeholder Interviews
When you run Stakeholder Interviews, Eureka analyzes those conversations and automatically generates Stakeholder Goals based on recurring priorities, concerns, and themes expressed by stakeholders.
These goals:
are added directly to the Project’s list of Stakeholder Goals
are active by default
are treated as AI suggestions, not final decisions
If no action is taken, these goals will still be used by Eureka to:
interpret upcoming user sessions
automatically suggest Findings related to those goals
For this reason, researchers are encouraged to:
review generated goals early
edit wording for clarity or intent
remove goals that should not guide the research
AI helps ensure stakeholder intent is captured; researchers ensure it is correct.
2. Manually created or edited by the researcher
Researchers can also:
add new Stakeholder Goals manually
edit AI-generated goals
remove goals that are no longer relevant
Manual goals behave exactly the same as AI-generated ones once they exist:
they guide researcher focus
they are used by Eureka to surface relevant evidence
they persist at the Project level until changed
Regardless of how a goal is created, researchers always own the final set of active goals.
How Stakeholder Goals are used during research
Stakeholder Goals influence research in two important ways:
They guide researcher focus
Goals help researchers:
prioritize what to listen for
frame follow-up questions
interpret ambiguous behavior
maintain alignment as studies iterate
They act as a shared reference point — especially in multi-stakeholder projects.
They help Eureka surface relevant evidence
When Stakeholder Goals are defined, Eureka can:
recognize moments in sessions that relate to those goals
suggest Findings tied to goal-relevant moments
surface these suggestions in:
the session feed
the Findings view
These suggested Findings:
always link to the underlying video
help reduce the risk of missing important moments
AI helps notice - researchers still decide.
Stakeholder Goals and Findings
Stakeholder Goals do not replace analysis.
Instead, they:
increase the chance that important evidence is surfaced early
connect Findings to organizational context
make it easier to explain why a Finding matters
Goals → help surface Findings
Findings → remain the unit of evidence
Stakeholder Goals evolve over time
Goals are not set once and forgotten.
They can:
be refined as research progresses
be added when new questions emerge
be retired when they are no longer relevant
This makes them a living input, not static configuration.
Why Stakeholder Goals matter
Making stakeholder intent explicit helps teams:
reduce misalignment
avoid selective attention
keep research relevant
make AI more useful and less opaque
connect evidence to impact
Stakeholder Goals turn unspoken expectations into shared context.
