DEFINE User Needs AI Prompt This prompt helps you identify which user need your design is actually solving and where the experience is breaking down. Start with a product, flow, or feature you're trying to improve. It guides you to: Walk the seven Honeycomb layers in order from Findable to Desirable Stop at the first layer that's broken rather than patching the surface Separate real needs from stated wants using the validation rule Match each named need to a metric so it becomes testable You'll end with a prioritized needs list tied to specific Honeycomb layers, each with a metric attached. Use this before starting any design work to make sure you're solving the right problem at the right layer. AI Skill The User Needs skill file teaches your AI the full Honeycomb model so it can help you diagnose and anchor any design challenge to a real, testable user need. Load it when you need to go deeper than the prompt allows, including layer-by-layer diagnostics, needfinding practice, and want-versus-need validation. It gives your AI: The full per-layer breakdown with definition, diagnostic questions, signal types, and failure modes The needfinding practice guide including observation techniques and contradiction capture The validation rule for separating stated needs from behavioral evidence The metric mapping list for each Honeycomb layer Download the skill file below to use the full User Needs framework with your AI assistant. Audience AI Prompt This prompt helps you define exactly who your design signals should come from and how much weight each voice should carry. Start with a project and a rough sense of who you're designing for. It guides you to: Name the four voices involved and assign signal weight to each Choose 3–5 attributes that turn a vague group into a testable one Separate internal voices that guide from external voices that validate Avoid the most common traps including designing for everyone and over-segmenting You'll end with an audience profile your team can reference throughout the project to keep signals grounded. Use this at the start of any project before running tests or collecting feedback. AI Skill The Audience skill file teaches your AI the complete four-voice model and audience-build sequence so it can guide you through any audience definition question with the full framework behind it. Load it when you need to go deeper on lifecycle segmentation, balancing participant signals against customer behavior, or building a testable audience from scratch. It gives your AI: The four-audience model with per-audience signal weights and roles The five attribute types with examples for each The eight customer lifecycle segments with per-segment metric guidance The six-step define flow for building an external audience Download the skill file below to use the full Audience framework with your AI assistant. UX Metrics AI Prompt This prompt helps you define a small, balanced set of UX metrics you can use to make decisions. Start with a flow, concept, or question you want to evaluate. It guides you to: Choose one metric for how users feel, what they do, how it performs, and what they understand Pressure test each metric so it's clear, comparable, and tied to behavior Remove weak or vanity metrics that won't change a decision You'll end with a set of four metrics you can use to evaluate a test, compare options, and explain results. Use this before a test or research cycle to lock in measurement that holds up in leadership conversations and connects directly to decisions. AI Skill The UX Metrics skill file teaches your AI the full metrics taxonomy so it can help you choose, balance, and defend the right metrics for any design challenge. Load it when you need to go deeper on leading versus lagging indicators, diagnostic mismatches, or the four critical comparisons between metric types. It gives your AI: The four metric types with definitions, examples, and when to use each The four lenses for viewing metrics by type, stage, time, and engagement The four-principle quality test for pressure testing any candidate metric The diagnostic mismatch patterns including what high satisfaction with low completion actually means Download the skill file below to use the full UX Metrics framework with your AI assistant. Collecting AI Prompt This prompt helps you choose the right research approach and instruments for your specific user need and business goal. Start with a user need and the business outcome you're trying to move. It guides you to: Pair your user need with a business goal and write the collection hypothesis Choose the right stack and mode for your situation Match techniques and instruments to the metrics you're tracking Plan how findings will be shared at the project, team, and leadership level You'll end with a collection plan that's ready to execute, with technique, instrument, and audience all named. Use this before any fieldwork begins to make sure what you collect connects back to a decision. AI Skill The Collecting skill file teaches your AI the full five-step collection process and instrument library so it can recommend the right approach for any research situation. Load it when you need to go deeper on instrument selection, balancing the four feedback types, or connecting findings to a leadership-ready sharing format. It gives your AI: The five-step process from intent through to connecting findings The Research Stacks catalog with named instruments including SUS, SEQ, CES, and CASTLE The full Techniques table with metric mappings for every method The four-axis tool framework across attitudinal, behavioral, performance, and specialized tools Download the skill file below to use the full Collecting framework with your AI assistant. MEASURE Concepts AI Prompt This prompt helps you frame a design effort as a focused, testable concept before any solutioning begins. Start with a business problem, friction point, or initiative your team is working on. It guides you to: Pull the relevant user need and the business goal it connects to Narrow the effort to one actionable concept rather than several competing ones Write a concept statement that passes the 5-minute test Name the signal that will confirm the concept worked You'll end with a single concept statement your team can use as the intent anchor before moving into ideation or testing. Use this when a team is jumping to solutions before they've agreed on what problem they're solving. AI Skill The Concepts skill file teaches your AI the full Defining Intent process so it can help you frame any design effort as a focused, measurable concept rather than an open brief. Load it when you need to go deeper on the 5-minute test, the concept catalog, or structuring intent across a larger initiative with multiple moving pieces. It gives your AI: The Defining Intent step with the 5-minute test in full The user need plus business goal plus signal template with a worked example The 200-plus concept catalog across Products, Websites, Mobile Apps, E-commerce, and Marketing The From-Intent-to-Signals loop summary Download the skill file below to use the full Concepts framework with your AI assistant. Hunches AI Prompt This prompt helps you turn a team instinct into a falsifiable hypothesis you can actually test. Start with an observation, instinct, or early pattern you've noticed in your product or research. It guides you to: Write a belief statement that names the user need behind the instinct Promote it into a hypothesis using the "We believe that..." template Pressure test it for falsifiability so it can be confirmed or disproven Tie it to a UX metric so results become a signal rather than an opinion You'll end with a well-formed hunch ready to move into the Questioning step. Use this when your team has an instinct about what's wrong but hasn't found a way to test it yet. AI Skill The Hunches skill file teaches your AI the full belief and hypothesis formation process so it can help you shape and strengthen any instinct before it moves into questioning. Load it when you need to go deeper on spark techniques, rewriting weak hunches, or building the connection between a friction point and a testable metric. It gives your AI: The five spark techniques for surfacing instincts from existing evidence The belief and hypothesis templates with weak-to-strong rewriting examples The falsifiability pressure test with the questions that expose an opinion masquerading as a hunch The metric-linking step that turns a hypothesis into a comparable signal Download the skill file below to use the full Hunches framework with your AI assistant. Questioning AI Prompt This prompt helps you turn a research challenge into a set of questions that will actually produce usable signals. Start with a hunch, design decision, or area of uncertainty your team needs to investigate. It guides you to: Sort your questions into the four types: People, Process, Product, and Problem Choose the right mode for where you are: Exploratory, Evaluative, or Comparative Run a bias check so no question leads, assumes, or confuses Match each question to a UX metric and a collection technique You'll end with a prioritized, bias-checked question set ready to use in a test or research session. Use this before any research session or usability test to make sure your questions will produce signals rather than confirmation. AI Skill The Questioning skill file teaches your AI the full eight-step process and question taxonomy so it can help you write and refine research questions for any design challenge. Load it when you need to go deeper on the bias check criteria, testable question standards, or building a reusable Question Library across projects. It gives your AI: The four question types with definitions and examples for each The three measurement modes with guidance on when to use each The full bias check criteria across leading, assumption, emotional, and jargon dimensions The metric-and-technique mapping tables for turning questions into collection plans Download the skill file below to use the full Questioning framework with your AI assistant. Findings AI Prompt This prompt helps you translate raw research data into a signal your team can act on. Start with a data set, test result, or research output you need to make sense of. It guides you to: Describe the behavior your data shows and name the source Tie it to the specific user need it reveals or threatens Connect it to a business metric it affects Write a recommendation with both a user metric and a business metric attached You'll end with a completed signal that gives your team a clear direction and a recommendation ready to share. Use this after any test, research session, or analytics review when the team has data but not yet a decision. AI Skill The Findings skill file teaches your AI the full data-to-signal translation chain so it can help you close the loop between any data set and a clear, actionable recommendation. Load it when you need to go deeper on connecting findings to business results, cross-checking against the original hunch, or structuring findings so they travel beyond the design team. It gives your AI: The five-step translation chain from raw data through to a shareable signal The user value mapping guide for tying findings to specific Honeycomb needs The business results connection framework with a worked checkout example The signal definition test for knowing when a finding becomes a signal versus noise Download the skill file below to use the full Findings framework with your AI assistant. FOCUS Initiatives AI Prompt This prompt helps you define a clear initiative so your team has a shared container for signals, methods, comparisons, and decisions. Start with a set of requests, a redesign, or a design effort that feels scattered or hard to scope. It guides you to: Map the request back to the larger business goal behind it Find the user need the work is actually trying to support Group the concepts that could create value under one shared outcome Name the UX metric and decision that will show whether the initiative moved You'll end with a scoped initiative that connects a user need, a business goal, and a measurable part of the experience. Use this when everything feels important at once, or when scattered requests need a clearer frame before any testing or collection begins. AI Skill The Initiatives skill file teaches your AI the full five-step method for choosing and framing an initiative so it can help you move from scattered requests to focused work with a shared outcome. Load it when you need to go deeper on connecting requests to business goals, grouping concepts under an initiative, or using the 10 common initiative types as starting points. It gives your AI: The five-step method for choosing an initiative from competing requests The 10 common initiative types with their friction and signal patterns The six questions a strong initiative must answer before methods begin The guidance for knowing when scope is tight enough to learn quickly Download the skill file below to use the full Initiatives framework with your AI assistant. Methods AI Prompt This prompt helps you choose the right frame for understanding your data rather than defaulting to the nearest test. Start with a named initiative and the decision your team needs to make next. It guides you to: Name the objective for the work so the method stays tied to an outcome Look at the data already available before collecting more Choose the frame that best organizes your evidence around the decision Define what gets compared so the method produces a finding rather than a report You'll end with a named method frame and a clear comparison ready to bring into the next round of work. Use this after an initiative is scoped and before collection begins, when the team needs to agree on how to look at the data. AI Skill The Methods skill file teaches your AI all 13 method frames with named methods inside each one so it can help you choose the frame that fits the decision rather than the one most familiar to the team. Load it when you need to go deeper on matching a frame to an initiative objective, choosing between journey mapping and competitor analysis or segment comparison, or knowing when to route back to initiatives before forcing a method. It gives your AI: The 13 method frames with named methods and when to use each The five-step selection process from naming the objective through defining what gets compared The guidance for knowing when data is ready to frame versus when the initiative needs more clarity first The full list of named methods organized by frame including JTBD, Kano Model, HEART, RICE, and more Download the skill file below to use the full Methods framework with your AI assistant. Comparing AI Prompt This prompt helps you place your signals side by side so they produce a finding rather than a data display. Start with a set of results, scores, or signals from a completed round of research or testing. It guides you to: Choose the comparison point that best fits the decision in front of you Confirm a shared metric so the comparison is fair Look for the strongest signal and the tradeoff, not just the highest score Turn the comparison into a finding with a named next step You'll end with a clear comparison backed by a shared metric and a finding that tells the team what to do next. Use this after a research round is complete and before a decision is made about whether to advance, refine, or change direction. AI Skill The Comparing skill file teaches your AI the full 12 comparison points and five-step comparing process so it can help you turn isolated signals into a clear direction. Load it when you need to go deeper on choosing between comparison points, ensuring the metric is shared before signals are placed side by side, or interpreting what a tradeoff means for the decision. It gives your AI: The 12 comparison points with guidance on when each one fits the decision The five-step process from naming the decision through turning the comparison into a finding The shared metric rule and guidance for naming tradeoffs explicitly The guidance for knowing when to route back to methods if the comparison won't produce a usable signal Download the skill file below to use the full Comparing framework with your AI assistant. Decisions AI Prompt This prompt helps you turn a comparison finding into a named decision your team can act on. Start with a finding from a completed comparison, review, or research readout. It guides you to: Ground the decision in the strongest signal from the comparison Name the tradeoff the team is accepting Choose exactly one of the five decision types: Implement, Refine Design, Test Iteration, Revisit Later, or Do Not Pursue Lock the next move so someone owns what happens after the meeting You'll end with a clear decision backed by signal, with a tradeoff named and a next step recorded. Use this in any design review, sprint, or stakeholder readout where the team has evidence but keeps circling the same questions without committing. AI Skill The Decisions skill file teaches your AI the full five-move taxonomy and decision-making process so it can help you convert any comparison finding into a named, recorded decision that downstream teams can act on. Load it when you need to go deeper on the criteria for each decision type, writing tradeoffs explicitly, or distinguishing strategic decisions about direction from tactical decisions about the next move on a specific concept. It gives your AI: The five tactical decision types with the criteria for choosing between them The five-step process from naming what is being decided through locking the next move The guidance for grounding every decision in a signal rather than a preference The decision record structure including the initiative, signal, tradeoff, type, and next step Download the skill file below to use the full Decisions framework with your AI assistant. LEAD Business Goals AI Prompt This prompt helps you anchor your design work to a business outcome that will hold up in a leadership conversation. Start with a design initiative and a rough sense of the business problem it's connected to. It guides you to: Name which of the nine business pressures your work is primarily serving Choose a specific measurable goal from the twenty available Run your proposed metrics through the Quick Test to confirm they count as signals Remove any vanity metrics that won't survive a finance or executive review You'll end with a goal anchor and a metric set that connects your design work directly to the outcomes leadership is already tracking. Use this before any readout, OKR review, or planning session where you need to show the business case for your work. AI Skill The Business Goals skill file teaches your AI the full three-layer KPI structure and 20-goal map so it can help you anchor any design initiative to the business outcome it is actually serving. Load it when you need to go deeper on the Quick Test, distinguishing Design KPIs from Product KPIs from Business KPIs, or calling out the three pitfalls before they undermine a leadership conversation. It gives your AI: The three-layer KPI structure with definitions and examples for each layer The complete map of 20 measurable goals across nine business pressures The Quick Test with the three questions every metric must pass The three pitfalls with examples of how each one shows up in practice Download the skill file below to use the full Business Goals framework with your AI assistant. Workflows AI Prompt This prompt helps you translate a design signal into the language of a specific business function so it lands as their win rather than a design update. Start with a design signal and the function you most need to influence right now. It guides you to: Reframe the signal using that function's top metrics and vocabulary Name the lift opportunity that makes it relevant to their work Build the Design KPI to Business KPI signal chain for that function Run the Quick Test to confirm the signal will travel You'll end with a function-specific translation of your design signal ready to use in a readout, planning session, or cross-functional update. Use this before any conversation with Sales, Marketing, Product, Engineering, Strategy, Operations, Finance, or Legal where design needs to show up in their terms. AI Skill The Workflows skill file teaches your AI all eight cross-functional templates in full so it can help you translate any design signal into the language of any business function. Load it when you need to go deeper on a specific function's metrics, questions, and lift opportunity, or when you're preparing to influence multiple functions at once. It gives your AI: All eight function templates with top metrics, questions, lift opportunity, and jargon glossary The Design KPI to Business KPI signal chain for each function The Workflows Quick Test and the 30-minute Quick Exercise for starting small Worked examples for each function showing how to reframe design language into business terms Download the skill file below to use the full Workflows framework with your AI assistant. Mapping AI Prompt This prompt helps you draw the explicit chain that connects a user need to a business goal so the link is visible and defensible. Start with a design initiative that has produced UX signals and a business outcome you need to connect them to. It guides you to: Fill in all five rungs of the Chain of Proof by name Work upward from user need or downward from business goal depending on where your gap is Use the UX metrics rung as the connective tissue that makes the chain credible Check for any unnamed rung before sharing the chain with leadership You'll end with a completed Chain of Proof that makes your UX metrics the link between what users do and what leadership tracks. Use this before any OKR review, roadmap session, or executive conversation where you need to show that design work connects to business outcomes. AI Skill The Mapping skill file teaches your AI the full Chain of Proof process so it can help you build and maintain a defensible connection between user needs and business goals for any initiative. Load it when you need to go deeper on the five steps to map, the Make-It-Practical routine for an in-flight project, or embedding the chain into dashboards and planning cycles so it stays visible over time. It gives your AI: The five-rung Chain of Proof with the failure point rule for any unnamed rung The v1.1 Five Steps to Map with collaborator guidance for each direction The Make-It-Practical routine and Quick Checklist for in-flight projects The onboarding-to-revenue worked example as a complete chain template Download the skill file below to use the full Mapping framework with your AI assistant. Results AI Prompt This prompt helps you close the loop between a design initiative and the business outcome it was meant to drive. Start with one initiative that has gone through findings and decisions but hasn't yet been connected to a measurable outcome. It guides you to: Map the initiative through all four layers: Initiatives, Findings, Decisions, and Outcomes Identify which layer is missing or broken using the 15-symptom diagnostic Apply the right calibration from the five-dimension maturity model Frame the outcome as direction-of-travel proof rather than a single precise number You'll end with structured proof of impact that's ready to share in a leadership update, not assembled after one. Use this after any significant design effort when you need to show what the work actually changed and connect it to a business outcome leadership can verify. AI Skill The Results skill file teaches your AI the full four-layer Project Work loop and maturity model so it can help you close the gap between any design effort and the business outcome it was meant to drive. Load it when you need to go deeper on the 15-symptom diagnostic, the five Dimensions of Design Maturity, or using the University Website case study as a reference for what a complete Results loop looks like in practice. It gives your AI: The four-layer Initiatives to Outcomes loop with the break-identification process The five Dimensions of Design Maturity with scoring rubric and micro-actions for each The complete 15-symptom diagnostic with verbatim calibration tips The Results Alignment Checklist and the University Website case study Download the skill file below to use the full Results framework with your AI assistant.