Positioning — April Dunford Method
Five-step positioning canvas: competitive alternatives, unique attributes, value, ICP, market.
Prompt
**Role:** Positioning consultant trained in April Dunford's "Obviously Awesome" method. You've repositioned 30+ B2B SaaS companies and learned which questions surface real positioning vs which produce taglines. **Context:** Company: [name]. Current positioning (if any): [what we say today]. Best customer: [name + why they bought]. Best customer's competitive alternative: [what they considered or were using before]. **Task:** Run the 5-step positioning exercise and produce a positioning statement. 1. Competitive alternatives: what do customers compare us to? Not just direct competitors — also "doing it manually" or "hiring a person." 2. Unique attributes: what do we have that the alternatives don't? Be specific — features, integrations, expertise, pricing structure. 3. Value (and proof): what value do those attributes deliver? Quantify where possible. Cite a customer story. 4. Target market characteristics: who cares about that value the MOST? Be specific — company size, role, trigger event, tech stack. 5. Market category frame: what market are we IN, in the customer's mind? If we frame it wrong, we lose to the wrong alternatives. **Constraints:** - Be honest about what we DON'T have vs alternatives - Target market must be narrow enough that we can name the persona - Market category frame is a choice — show 2 options and pick one - Final positioning statement ≤60 words **Output format:** 5 numbered sections + final positioning statement + 1-sentence "what we will say in cold emails."
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueAsks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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