asmartbear

18 skills

asb-carol-dealbreakersasmartbearFacilitates the fourth step of a proven ideal-customer (ICP) method: refining classified weaknesses into deal-breakers — the circumstances that disqualify the product outright, no matter how well everything else fits — and mapping the anti-market segments who therefore will never buy. Takes the weaknesses from a strengths chart (W1, W2, …) plus a keystones file (K1, K2, …), walks the weaknesses one at a time, records deal-breakers with their anti-market segments in DEALBREAKERS.md (D1, D2, …), t asb-carol-defineasmartbearFacilitates the final step of a proven ideal-customer (ICP) method: synthesizing the working files — strengths and weaknesses, honed keystones, deal-breakers, and inciting events — into CAROL.md, the crisp definition of the ideal customer. The definition leads the file, behavioral and attitudinal, never demographic unless genuinely determinative; every marker must clear the bar that Marketing can target it, Sales can qualify against it, and Product can build features to thrill it. Brief referenc asb-carol-inciting-eventsasmartbearFacilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windo asb-carol-keystonesasmartbearFacilitates the third step of a proven ideal-customer (ICP) method: refining classified strengths into keystones — the specific characteristics, behaviors, or circumstances that make a customer NEED an extreme version of a strength, badly enough to drive the purchase alone. Takes a strengths chart (S1, S2, … — file or pasted), walks the strengths one at a time asking who requires an extreme version of each, gates every candidate on naming a real market segment that typifies it (no segment = tabl asb-carol-observationsasmartbearFacilitates the first step of a proven ideal-customer (ICP) method: gathering raw, honest, specific observations about what a company and product actually are — before any judgment about strengths or weaknesses. Walks the user through twelve unsparing question categories (what customers praise, the complaint with no defense, what separates your most profitable customers, and more) — or processes a team's write-storm notes one observation at a time — and records the results in OBSERVATIONS.md (nu asb-carol-strengthsasmartbearFacilitates the second step of a proven ideal-customer (ICP) method: distilling raw company observations into the few deep-truth attributes that matter, then classifying each as a strength, a weakness, or deliberately both. Takes an observations list (O1, O2, … — file or pasted), proposes attributes one at a time with their supporting observations, kills generic ones with the Opposite Test ('we love our customers' dies), classifies each with a concrete rubric (a third of the market sees it that asb-interview-debriefasmartbearFacilitates the learning step of a proven customer-interview method — the recording half: turning raw material from ONE customer conversation (transcript, notes, memory dump) into a brief per-person debrief file, mapped against the numbered interview-question list (Q1, Q2, … with H-number tags). One concise answer per question actually asked, key phrases kept verbatim, unasked questions honestly skipped, a one-line commentary only where in-the-moment context helps later analysis, and an addenda asb-interview-goalsasmartbearFacilitates the first step of a proven customer-interview method: deciding exactly what you're trying to learn, written as numbered goal questions (G1, G2, …) that your hypotheses and interview questions will later be designed to answer. Interviews the user about their business — new idea or established company, B2B or B2C — then drafts a tailored goal-question list, critiques and revises it with them, and preserves the result in a GOALS.md file. Load when the user wants to interview customers, asb-interview-hypothesesasmartbearFacilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypotheses asb-interview-learningasmartbearFacilitates the learning step of a proven customer-interview method — the synthesis half: reads a directory of per-interview debrief files against the working HYPOTHESES.md and QUESTIONS.md and proposes evidence-cited updates ONE at a time — double down, tune numbers, mark disproved, park heard-once observations in a 'That's funny' watch section, add new hypotheses with new questions — applying each agreed change directly to the files with a change log, and ending with a stop-or-continue-or-re-a asb-interview-questionsasmartbearFacilitates the third step of a proven customer-interview method: translating hypotheses into open-ended, unbiased interview questions — each a miniature experiment designed to test one hypothesis without leading the witness. Two modes: given a single hypothesis, it grills the question into shape and outputs the final question in chat; given a HYPOTHESES.md file, it iterates the whole list, grouping related hypotheses, and maintains a QUESTIONS.md file (numbered Q1, Q2, … mapped to H-numbers) as asb-interview-reportasmartbearFacilitates the final step of a proven customer-interview method: distilling everything a round of interviews produced (GOALS.md, HYPOTHESES.md, QUESTIONS.md, and a directory of per-interview debriefs) into a single FINAL-REPORT.md the whole company can use. Top: a summary as brief as possible without losing salient information. Below: numbered findings (F1, F2, …) tagged validated / disproved / directional / watch / untested, every one citing debriefs and quoting customers verbatim, plus per-ar asb-needs-stackasmartbearBuilds a customer Needs Stack — the ladder in which every need is a means to the end one level up (buy infrastructure → set up a WordPress site → have a personal website → get a book deal). Anchors the level the user's product satisfies, phrased as the customer's own goal in the customer's own words, then walks downward (the steps the product makes obsolete) and upward (what the customer really wants), crystallizing every level — specific wording, a true means-to-an-end link, named real-world oc asb-positioningasmartbearConverts marketing copy — headlines, ads, homepage claims, pitches, positioning statements — into value-first, vivid language: reframes save-time/save-money pitches as create-more-value pitches in the currency the customer measures value, fits each claim to the right level of the customer's needs (features at your level, the promise one level up, aspirations referenced but never promised, obviated steps bragged about), keeps every claim consistent with the declared pricing strategy (More for Mor asb-problemasmartbearScores whether a business idea can become a viable business, walking the path from 'The Problem' to 'Viable Business Model': one specific target market is Fermi-scored on seven multiplying criteria (Plausible, Self-Aware, Lucrative, Liquid, Eager ×2, Enduring), every optimistic number is challenged unless evidence backs it, and when the verdict is bad, narrower niches are re-scored side by side. Load when the user asks whether their startup or product idea is viable, whether a market really exis asb-rude-qaasmartbearInterrogates a user's decision, plan, pitch, positioning, target market, pricing, or still-forming idea with sharp, unsparing questions — extended when useful to hostile or even unfair framings — until the plan sharpens into defensible decisions, or the user concludes it isn't a good idea after all. Acts as the constructive devil's advocate that the user cannot be for themselves. Load when the user wants to stress-test, attack, pressure-test, find holes in, or play devil's advocate against somet asb-votersasmartbearDistills a person's or company's strengths, experiences, and obsessions down to their one or two VOTERS — the decisive, idiosyncratically extreme traits that win the contest because customers who value them accept every other trade-off. Runs each candidate through a hard gauntlet: extremity earned through obsession (not mere competence), rarity among peers, decisiveness (name the weaknesses it overpowers), and reverberation (it must force decisions in product, pricing, and market). Caps the answ asb-who-measmartbearInterrogates the user to discover who they actually are — what drives them, what drains them, and the natural strengths they can't see because they come so easily — using proven self-discovery prompts (even-as-a-kid, lost-in-the-work, pit-of-my-stomach dread), the anti-questions, and outside-in questions given as homework to people who know them (perfect scenario, personal hell, invisible strengths). Presses every self-flattering label into concrete episodes, welcomes socially unacceptable motiv