Glare exists to help teams move from ideas to decisions
Most teams are not short on input. There are always ideas on the table, feedback coming in, and different perspectives shaping the work. Prompts generate directions. Teams react to what they see, and conversations can happen quickly. What slows things down is not the lack of ideas. It’s what happens when the team needs to decide what to do next.
That’s where things tend to slow down.
Connected Components
Glare gives structure to that moment. It connects how ideas are explored, how they are evaluated, and how decisions are carried forward so the work doesn’t lose direction under pressure.
At the core, it’s built around four connected parts:
<table xmlns="http://www.w3.org/1999/xhtml" style="min-width: 50px;"><colgroup><col style="min-width: 25px;"><col style="min-width: 25px;"></colgroup><tbody><tr><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/ai-skills"><strong>AI Skills</strong></a></p><p>Repeatable ways to structure evaluations, critiques, prioritization, and decision-making inside prompts and workflows.</p></td><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/ux-metrics"><strong>UX Metrics</strong></a></p><p>Behavioral, attitudinal, perceptual, and performance metrics used to validate direction.</p></td></tr><tr><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/design-signal"><strong>Design Signals</strong></a></p><p>Measurable user responses that help teams evaluate direction and compare options.</p></td><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/decision-map"><strong>Decision Map</strong></a></p><p>A shared model for understanding where decisions are, what information is missing, and what should happen next.</p></td></tr><tr><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/design-review"><strong>Design Reviews</strong></a></p><p>Structured conversations that use signals to guide decisions, surface tradeoffs, and reduce circular feedback.</p></td><td colspan="1" rowspan="1"><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://glare.zurb.com/docs/design-assessment"><strong>Design Assessment</strong></a></p><p>A way to evaluate how well decisions move across teams, workflows, and the organization over time. These components can be used independently or together depending on the type of work being evaluated.</p></td></tr></tbody></table>
Each one plays a role in helping the team move forward with confidence.
AI Skills
AI Skills shape how ideas are evaluated before decisions move forward.
They provide repeatable ways to structure prompts, critiques, prioritization, and reviews so teams can evaluate work consistently as more concepts and variations enter the system.
Teams use AI Skills to:
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Frame product questions
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Structure design critiques
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Compare competing concepts
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Evaluate UX metrics
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Interpret findings
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Guide prioritization decisions
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Clarify tradeoffs before launch
AI Skills operate underneath the workflow. They help turn rough ideas into testable concepts, define what should be measured, and keep evaluations from changing every time new feedback enters the conversation.
Instead of reacting to scattered opinions or inconsistent reviews, teams have a clearer structure for evaluating what should move forward.
As AI increases the speed of production, Skills help teams maintain alignment and reduce ambiguity across prompts, experiments, reviews, and product decisions.
When AI Skills are working well, evaluations become more repeatable, reviews stay focused, and teams spend less time circling decisions.
UX Metrics
UX Metrics help teams measure how users respond to an experience.
They provide a structured way to evaluate usability, comprehension, trust, satisfaction, desirability, and behavioral performance before ideas scale into production.
Teams use UX Metrics to:
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Evaluate usability and comprehension
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Compare competing concepts
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Validate onboarding and flows
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Benchmark changes over time
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Identify friction and hesitation
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Support prioritization decisions
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Connect product direction to measurable outcomes
This is where user response becomes measurable.
Instead of relying only on assumptions, isolated feedback, or stakeholder opinion, the team has evidence it can compare, interpret, and act on. Metrics make it easier to see where users struggle, where confidence drops, and which directions are performing more effectively.
Design Signals are built from these responses. Metrics strengthen signals by making patterns visible and easier to evaluate across concepts, workflows, and decisions.
When UX Metrics are strong, teams gain clearer validation, more stable prioritization, and stronger confidence in the decisions shaping what moves forward.
Design Signals
Everything starts with a signal. A design signal is what turns a vague sense of “this feels right” or “this might be off” into something the team can actually work with.
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A signal connects:
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A decision the team needs to make
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A measurable user response
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The outcome that decision is meant to influence
This is where the work starts to become clear.
Instead of reacting to opinions or scattered feedback, the team has something concrete to respond to. You can see how users are interpreting the experience, where things break, and how different directions compare.
AI Skills are working underneath this, shaping how signals are created. They help turn rough ideas into testable concepts and define what should be measured so signals are consistent, not one-off.
When signals are strong, conversations change. The team is no longer guessing. They’re responding to something real.
Decision Map
Once signals exist, the question becomes: what do we do with them?
That’s where the Decision Map comes in. It shows how decisions take shape and move forward through the work. Not as a rigid process, but as a way to understand where you are and what needs to happen next.
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The map is organized into four areas:
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Define- What problem are we actually solving? What matters here?
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Measure- How is this performing? What are users showing us?
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Focus- Which direction is stronger? What should move forward?
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Lead- What do we commit to, and how does it connect to outcomes?
In practice, teams move back and forth across these. It’s not linear. But having this structure makes it easier to see where a decision is getting stuck.
AI Skills support this flow by keeping evaluation consistent. They help ensure that signals connect to decisions in the same way each time, instead of being interpreted differently depending on the conversation.
Design Review
This is where most teams feel the friction.
Design Review is where work is presented, feedback is shared, and decisions are expected to happen. It’s also where things tend to slow down. Without structure, reviews expand. More feedback comes in. New ideas are introduced. The conversation keeps going, but the decision doesn’t land.
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Signals change that dynamic. They give the team something to anchor on. Instead of reacting to everything, the conversation stays focused on what matters and what the signal is actually showing.
In a strong review:
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Attention stays on the decision
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Tradeoffs are visible
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Feedback connects back to signals
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The team can commit to a direction
AI Skills help keep that structure in place. They guide how work is evaluated so reviews don’t drift. When this works, reviews stop being a place where work gets discussed and start becoming a place where work moves forward.
Design Assessment
Even when teams make good decisions, those decisions don’t always carry. They get revisited. They lose clarity as they move across teams. Or they never fully connect to outcomes.
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Design Assessment looks at that layer. It focuses on how decisions move through the system over time, not just whether a single moment went well.
It helps answer:
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Are signals being created consistently?
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Are decisions actually landing?
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Is the work holding as it moves forward?
To do that, Glare looks at the work across five dimensions. These dimensions reflect where decisions tend to break:
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Organizing Work- Is the work structured clearly, or does it feel scattered and reactive?
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Managing Complexity- Are teams able to handle multiple directions and inputs, or does complexity slow decisions down?
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Building Proof- Are signals strong and consistent, or does the work rely on assumptions and opinion?
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Guiding Decisions- Are signals actually used to make decisions, or do conversations drift without resolution?
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Scaling Influence- Do decisions carry across teams and over time, or do they get revisited and lose momentum?
This is less about a single moment and more about patterns. Over time, these dimensions show where the system is working and where it’s breaking.
AI Skills support this by making evaluation repeatable. They help standardize how signals are created, how decisions are assessed, and how gaps are identified.
Without that consistency, it’s easy to assume things are working until friction builds up. Design Assessment makes that visible early, so teams can strengthen the system before decisions start to stall.
How It Comes Together
When all of this connects, the work starts to feel different. Instead of bouncing between ideas and feedback, there’s a clear path from exploration to decision.
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Ideas are generated through prompts and conversations
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Skills shape how those ideas are evaluated
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Signals show how users respond
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Design Reviews use those signals to guide decisions
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The Decision Map keeps those decisions moving
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Design Assessment shows how well it’s all holding together
Each step feeds the next. The output of one becomes the input of another.
The loop repeats, but it doesn’t reset. It builds.
What This Produces
When Glare is working well, the outputs are noticeable.
The team produces:
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Design signals that clearly reflect user behavior
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Decisions that people can align around
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Visible tradeoffs between options
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Direction that holds as work moves forward
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A clear connection between design work and outcomes
More importantly, the team spends less time circling decisions and more time moving them forward.
