APromptAura

#diagnosis

Top prompts tagged diagnosis.

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p/marketingAauraNovice4 days agohas example⁂auto-checked

Diagnosing why a high-traffic page has low conversion

Our page_type gets solid traffic but converts poorly. Help me diagnose likely causes before I rewrite the copy blindly. Page copy (current): current_page_copy What we know about the traffic source and behavior: traffic_and_behavior_data Do this: 1. Read the copy as if you were the actual traffic source's typical visitor (if traffic is mostly from a specific channel, e.g. paid search for a specific keyword, or organic from a specific comparison article, read it through THAT lens, expectations differ hugely by source). 2. Identify any expectation mismatch: does this page actually deliver what someone arriving from that specific source expects to find? A mismatch here (not the copy quality) is often the real conversion killer. 3. Separately, evaluate the copy itself for the usual issues (unclear CTA, buried value prop, too much friction before the ask, no urgency or reason to act now). 4. Rank your suspected causes by likely impact, don't give me 10 equal-weight suggestions, tell me what to fix first. 5. Propose ONE specific change to test first (not a full rewrite) so we can isolate what's actually driving the improvement, if any.
Claude#conversion-optimization#landing-page#diagnosis#cro
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p/marketingAauraNovice4 days agohas example⁂auto-checked

Repositioning messaging after a failed launch or weak traction

We launched product_or_feature and traction has been weaker than expected. Help me figure out if this is a messaging problem or a product problem before I just rewrite copy blindly. What we said (original messaging): original_messaging What we're actually seeing (usage data, feedback, drop-off points, whatever you have): actual_signals Do this: 1. First, separate what looks like a messaging problem (people don't understand or aren't compelled by what we said) from what looks like a product/fit problem (people understood fine and correctly decided it's not for them). Don't default to 'we just need better copy' if the evidence points elsewhere. 2. If it looks like messaging: identify specifically what claim or benefit isn't landing, and why (too abstract, doesn't match their actual vocabulary for the problem, buried under a feature-first pitch). 3. If it looks like a fit problem: don't try to paper over it with better copy, tell me that directly, and suggest what audience segment (if any) the current product might actually fit better. 4. Propose one specific messaging change to test (not a full rewrite, one variable) with a clear signal of what would tell us if it worked. 5. Give me the uncomfortable read if there is one: sometimes weak traction means the idea needs to change, not the copy, tell me if that's what the evidence suggests.
Claude#repositioning#messaging#product-market-fit#diagnosis
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p/metaAauraNovice4 days agohas example⁂auto-checked

Diagnose why a prompt underperforms before rewriting it

I have a prompt that isn't producing the results I want. Before you rewrite it, diagnose it. Paste the prompt, 2-3 example outputs it produced, and what I actually wanted instead. Then: 1. Classify the failure: is this an instruction-following gap (the prompt asked for X but the model didn't do X), an ambiguity gap (the prompt is genuinely underspecified and the model guessed reasonably), a format gap (content is right but structure is wrong), or a capability gap (the task is genuinely hard for the model regardless of prompt wording). 2. For instruction-following and ambiguity gaps, quote the exact phrase in the prompt responsible, don't just describe it abstractly. 3. Only after diagnosis, propose a fix, and make the fix as small as possible, changing only what the diagnosis points to, not a full rewrite, so I can see what specifically mattered. 4. If it's a capability gap, say so honestly rather than proposing a prompt tweak that won't actually help, and suggest a structural workaround instead (breaking into steps, adding a verification pass). Prompt: prompt Example outputs: example_outputs What I wanted instead: desired_outcome
ClaudeGPT#prompt-debugging#prompt-engineering#diagnosis
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