Results for “sam”

Audit your GTM tech stack for overlap, gaps, and wasted spend. What each tool actually does, where two tools do the same job, what nobody uses, and a consolidation plan with the renewal calendar attached. Built for B2B RevOps teams, customizable to your stack and your budget. Trigger on "audit my tech stack", "what tools overlap", "what are we not using", "cut our GTM spend", "what should we consolidate", or any tooling diagnostic.

Comprehensive market research and analysis skill. Use when sizing markets, conducting competitive analysis, generating professional market research reports, analyzing consumer behavior, or identifying market opportunities. Activates for: market research, market analysis, market report, TAM SAM SOM, market sizing, industry analysis, market landscape, competitive landscape, market trends, consumer research, Porter's Five Forces, PESTLE, SWOT, BCG Matrix, McKinsey-style report, consulting report, market opportunity, industry report, due diligence, M&A analysis, GTM market analysis, product-market fit validation.

Set your brand voice and tone so every AI output sounds like you, not like generic AI. Names the voice pillars, the tone by context, the words you use and the ones you never do, and gives sample lines the model can pattern-match. Feeds the voice layer of the context repo so every skill writes in your voice. Fire on "define our brand voice", "brand and tone", "how should we sound", "voice guide", "make it sound like us", or the start of building a GTM context repo.

Re-onboard a churned customer with the same care they got the first time. Reads why they left and whether they left the door open, picks the ones worth winning back, and builds a warm re-onboarding sequence, not a "we miss you" discount blast. Built for any post-sale or growth team, customizable to your product and win-back window. Trigger on "win back churned customers", "re-engage a lost account", "build a win-back sequence", "which churned customers should we chase", "boomerang play", "re-onboard a customer who left", or any win-back question.

The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.