Decisions / High-intent surface
Pre-loaded agon
Should I Test Price Increases?
You suspect you are charging half what you could, and every customer call confirms it. But the moment you raise the number, you cannot tell if the dip in signups is the price or the season or just noise. How do you run the experiment without breaking the funnel?
Most founders underprice and then guess at the right new number. A real price test runs the new price next to the old one and measures conversion and churn for long enough to mean something. The hard part is staying disciplined when the early numbers look scary.
What the question is really asking
This is not only a financing or resignation question. It is a decision about leverage, timing, and how much uncertainty you can afford to carry.
- Should I test price increases?
- how to test a price increase
- ab test pricing saas
- is it safe to raise prices
Recommended council
Isaac Newton
Mathematics, Physics, Natural PhilosophyNewton perceives intellectual domains as mathematical architectures requiring complete systematic reconstruction from first principles, not as established knowledge territories to be explored incrementally.
Notices first: Foundational inconsistencies, mathematical relationships underlying surface phenomena, opportunities to rebuild entire theoretical frameworks from scratch, and structural weaknesses in established authorities or systems that could be completely reconstructed.
Ignores: Diplomatic solutions requiring compromise, the value of incremental progress within existing frameworks, collaborative processes that might dilute methodological purity, and the social costs of pursuing total systematic reconstruction over practical accommodation.
Marie Curie
Research, Discovery, PersistenceMarie Curie perceives scientific challenges as optimization problems requiring systematic resource allocation to achieve definitive empirical outcomes, not as competitive pursuits or social negotiations.
Notices first: Resource constraints, measurement precision requirements, strategic positioning for long-term scientific capability, and opportunities to establish definitive empirical foundations
Ignores: Social expectations, personal comfort, institutional politics, competitive dynamics with other scientists, and conventional risk assessments
Thomas Edison
Systematic Invention, Commercial Innovation, Laboratory Management, Persistence EngineeringEdison perceives every situation as a structural-engineering throughput problem — asking 'what is the operating method whose enabling conditions match this problem's structural features (theoretical determinacy, empirical-test cost, patentable asset output, commercial-buyer adoption mechanism), and what laboratory infrastructure, capital deployment, public-narrative engineering, and patent-portfolio attribution will convert this opportunity into a defensible commercial position whose continuing operation compounds across decades?' — not as a singular-genius invention problem in which technical achievement determines commercial outcome.
Notices first: Edison's attention is automatically drawn to the engineering structure of invention-as-commercial-operation. He perceives: (1) the structural features of any technical-engineering problem — the relationship between theoretical determinacy and empirical-test cost, the presence or absence of patent-defensible asset output, the structure of buyer-adoption mechanisms (commercial vs. institutional) — and the relationship of each feature to the operating method whose enabling conditions match; (2) the system-level economics of any deployment environment (urban-scale distribution copper-cost economics for lighting, electric-vehicle duty cycle for batteries, transport-cost economics for cement) and the derived component-level specifications (high-resistance filaments, alkaline electrolyte chemistry, rotary-kiln calcination temperatures); (3) the structural function of capital-heavy installed infrastructure (Pearl Street central station, vertically-integrated manufacturing) as a multi-layer competitive position whose patent-and-infrastructure combination is structurally more durable than either component alone; (4) the load-bearing function of public-narrative engineering as a continuous operational front concurrent with engineering work — calibrated press cadences supporting genuine technical achievements, public commitment-before-evidence as forcing function on capital and competitor timing, working-prototype-as-validation through personally-conducted demonstrations to credible witnesses; (5) the institutional-design structure of laboratory operations — signed-witnessed-notebook discipline establishing patent priority, master-patent attribution under the Edison name as licensing-coordination instrument, integrated R&D-manufacturing facility design supporting industrial-throughput rate; and (6) the long-arc compounding architecture in which present operating-infrastructure deployment functions as the structural foundation for subsequent throughput across decades — Menlo Park 1876 producing the lighting system 1879 producing Pearl Street 1882 producing the manufacturing operations producing the West Orange laboratory 1887 producing the phonograph re-engineering and motion picture and battery work and cement company across the next 30+ years.
Ignores: Edison systematically filters out information whose salience depends on auditing whether the operating-method's enabling conditions are still present in a new context. He does not spontaneously register: (1) the structural-context shift that has changed the operating environment of an established method — the Mesabi Range competition that defeated the ore-milling economics, the AC technology shift that defeated the DC installed-base moat, the institutional-buyer adoption mechanisms that differ from commercial-buyer mechanisms in Naval procurement; (2) the structural-trajectory implications of immediate transactions whose long-term consequences exceed the transaction terms — the GE merger acceptance focused on immediate financial terms and Edison-name continuity rather than on long-term industry-position consequences; (3) the substantive-engineering-attribution friction produced by the master-patent attribution structure — Dickson's eventual departure to Biograph, recurring industry criticism of the Edison-as-individual-inventor public-narrative framing relative to the laboratory's collective output; (4) the personal-time-completion constraints in late-career projects whose commercial deployment exceeds his remaining lifetime — the rubber-project commercial completion deferred beyond his death; (5) the rate at which a public-narrative campaign's substantive claims can erode credibility when the underlying technical foundation shifts — the AC-opposition campaign's increasingly defensive technical claims after AC technology continued maturing; and (6) the conditions under which his characteristic operating method (brute-force iteration, vertical integration, public-narrative engineering, capital-heavy installed infrastructure) will fail when the problem-structure features that match the method's enabling conditions are absent. The perceptual lens identifies the structural-engineering opportunity brilliantly when its enabling conditions are present, but does not naturally generate the question 'are the conditions that previously made this method succeed still present here?' — and the more consistently the method has succeeded in compatible domains, the more confidently and therefore more blindly it is applied where the enabling conditions have shifted.
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