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Design SaaS pricing tiers, freemium models, and value-based packaging to maximize conversion and revenue
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evals/evals.json
1{2"skill_name": "pricing-strategy",3"evals": [4{5"id": 1,6"prompt": "Help me figure out pricing for our new SaaS product. It's a customer support platform for e-commerce stores. We're not sure whether to charge per agent, per ticket, or flat rate. Currently thinking $49-199/month range.",7"expected_output": "Should check for product-marketing-context.md first. Should apply the three pricing axes framework: packaging (what's included in each tier), pricing metric (per agent, per ticket, flat rate — evaluate each), price point ($49-199 range evaluation). Should discuss value metrics and which aligns best with value delivered (per agent is common in support, but per ticket aligns with usage). Should recommend a good-better-best tier structure. Should address pricing psychology. Should provide a specific pricing recommendation with rationale.",8"assertions": [9"Checks for product-marketing-context.md",10"Applies three pricing axes framework",11"Evaluates multiple pricing metrics",12"Discusses which metric aligns with value delivered",13"Recommends good-better-best tier structure",14"Addresses pricing psychology",15"Provides specific pricing recommendation with rationale"16],17"files": []18},19{20"id": 2,21"prompt": "We want to raise our prices by 30%. We've been at $29/month for 2 years and we've added a lot of features. How do we do this without losing customers?",22"expected_output": "Should apply the 'when to raise prices' and price increase strategies sections. Should recommend a strategy: grandfather existing customers (or give them a grace period), tie the increase to new value, communicate the change clearly with advance notice, consider an annual billing discount as a softening measure. Should address different approaches (immediate for new customers, delayed for existing). Should recommend specific communication strategy. Should note that some churn is expected and acceptable.",23"assertions": [24"Applies price increase strategies",25"Recommends grandfathering or grace period approach",26"Recommends tying increase to new value",27"Provides communication strategy",28"Addresses new vs existing customer timing",29"Suggests annual billing as softening measure",30"Notes some churn is expected"31],32"files": []33},34{35"id": 3,36"prompt": "how do we figure out what people will actually pay? we're launching a new product and have no idea what to charge.",37"expected_output": "Should trigger on casual phrasing. Should apply the pricing research methods: Van Westendorp price sensitivity analysis (too cheap, bargain, expensive, too expensive), MaxDiff for feature importance, competitive benchmarking. Should explain how to run each method. Should also recommend simpler approaches: talking to potential customers, analyzing competitor pricing, testing different price points. Should provide a practical pricing research plan they can execute.",38"assertions": [39"Triggers on casual phrasing",40"Applies Van Westendorp price sensitivity method",41"Applies MaxDiff for feature importance",42"Recommends competitive benchmarking",43"Explains how to run each method",44"Suggests practical alternatives (customer interviews, competitive analysis)",45"Provides executable pricing research plan"46],47"files": []48},49{50"id": 4,51"prompt": "We have a Basic ($19), Pro ($49), and Enterprise (custom) plan. The Pro plan gets 70% of signups. Should we add a plan between Pro and Enterprise?",52"expected_output": "Should apply the good-better-best tier structure framework. Should analyze the current situation: Pro capturing 70% is actually healthy, but the gap to Enterprise suggests there may be mid-market customers underserved. Should evaluate whether a 4th tier makes sense: does it address a real gap, or will it create choice paralysis? Should apply pricing psychology (Hick's Law — more options can reduce decisions). Should recommend either a 4th tier with clear differentiation or adjusting the Pro plan to better bridge the gap.",53"assertions": [54"Applies good-better-best tier structure",55"Analyzes current tier performance",56"Evaluates whether 4th tier addresses real gap",57"Considers choice paralysis risk",58"Applies pricing psychology (Hick's Law)",59"Provides specific recommendation with rationale"60],61"files": []62},63{64"id": 5,65"prompt": "What pricing psychology tactics should we use on our pricing page? We want the $79 plan to be the most popular.",66"expected_output": "Should apply the pricing psychology section: anchoring (show the $79 plan next to a higher-priced plan), decoy effect (make the lower plan look less valuable), visual emphasis (highlight or 'recommend' the $79 plan), charm pricing ($79 vs $80), Rule of 100 (percentage discounts below $100, dollar discounts above), loss framing (show what lower plans miss). Should provide specific pricing page design recommendations. Should cross-reference page-cro for broader pricing page optimization.",67"assertions": [68"Applies pricing psychology tactics",69"Applies anchoring effect",70"Applies decoy effect or visual emphasis",71"Applies charm pricing or Rule of 100",72"Provides specific pricing page recommendations",73"Cross-references page-cro or marketing-psychology"74],75"files": []76},77{78"id": 6,79"prompt": "Our pricing page conversion rate is only 1.5%. Can you review the page and suggest improvements?",80"expected_output": "Should recognize this is a pricing page conversion optimization task, not a pricing strategy task. Should defer to or cross-reference the page-cro skill, which handles pricing page conversion rate optimization including plan comparison clarity, CTA optimization, and trust signals. Pricing-strategy focuses on the actual pricing decisions (what to charge, how to package), not the page design.",81"assertions": [82"Recognizes this as pricing page CRO, not pricing strategy",83"References or defers to page-cro skill",84"Explains that pricing-strategy is about pricing decisions",85"Does not attempt full page CRO audit"86],87"files": []88}89]90}91