It's all about perspective.

ChatGPT (and other LLMs) lack perspective.

They give you one answer. And most of the time, they want to please you with this answer.

So, how can you make sure you cover every possible angle?

Better prompting.

Perspective‑Transition Prompting

Perspective‑Transition Prompting: “Answer as 1st‑person; then critique as a 3rd‑person analyst; finally merge both.”Proven to boost depth and reduce bias (Wang et al., ‘Perspective Transition of LLMs’, 2025).

The secret is to ask for more perspectives inside the same chat, and ask them to discuss.

Here's an example: you want to know if you should post on Linkedin using your personal profile or your business profile.

Prompt: "Should I post on Linkedin using my personal profile or the one from the business I want to grow? Answer as a well-informed 1st‑person deep search of the web. Then critique as a 3rd‑person analyst (expert on the matter). Finally, merge both to share your conclusion."

The answer is so much better:

• a mix of deep searching the web with the good + obvious answers,
• and an expert bringing in deeper counter arguments (that are actually solid).

If you want to see ChatGPT's answer on this one, check this: ​https://chatgpt.com/share/6814d483-2700-800f-9b54-1ff64bfa450e​. PS: You must use o3 model for much better results.

Now let's go deeper into this prompting technique.

Name the 1st & 3rd person

We want ChatGPT to "become" two people, a 1st-person (the obvious) & a 3rd-person (the expert).

I realized naming these people helps get better answers.

Here are copy & paste prompts for you:

1 - SaaS Annual‑Only Pricing

“I’m a bootstrapped SaaS founder selling workflow automation. Should I switch from monthly to annual‑only plans at $ 1,999?  

Answer as Alex, the founder tracking churn (1st person).  

Then critique as Dr. Patel, subscription‑economy economist (3rd person).  

Finally, merge both into a verdict and one action step.”

2 - Entering the U.S. Market

“Our EU-based HR‑tech startup is considering launching in the U.S. this quarter. Good move or premature?  

Answer as Marie, COO overseeing expansion (1st person).  

Then critique as Jordan Lee, cross‑border go‑to‑market consultant (3rd person).  

Finally, merge both into a 100‑word recommendation.”

3 - Remote vs On‑Site Sales Team

“We need five SDRs. Should we hire fully remote or build an on‑site team in Tel Aviv?  

Answer as Ben, VP Sales chasing quota (1st person).  

Then critique as Carmen Díaz, organizational behavior researcher (3rd person).  

Finally, merge both into an actionable hiring plan.”

4 - Raising a Seed Round vs Revenue Funding

“Our fintech has $50k MRR. Should we raise a $2 M seed round or stay revenue‑funded?  

Answer as Priya, the CEO balancing dilution (1st person).  

Then critique as Samuel Green, VC partner specializing in fintech (3rd person).  

Finally, merge both into a risk‑balanced decision.”

5 - AI Customer‑Support Bot Rollout

“Is now the right time to replace 60% of live‑chat reps with an AI support bot?  

Answer as Dana, CX director measured on CSAT (1st person).  

Then critique as Prof. Nguyen, expert in service automation ethics (3rd person).  

Finally, merge both into a concise go/no‑go call and next steps.”

6 - LinkedIn Ads vs Content Engine

“To generate qualified leads this quarter, should we double LinkedIn ad spend or invest in a daily founder‑led content engine?  

Answer as Tomas, demand‑gen manager under CPL pressure (1st person).  

Then critique as Aisha Khan, growth strategist who scaled three B2B brands (3rd person).  

Finally, merge both into a 120‑word playbook.”

7 - Premium vs Freemium Mobile App Launch

“Our wellness app is ready. Should we launch premium‑only at $99/year or start freemium?  

Answer as Zoe, product lead eyeing rapid MAU (1st person).  

Then critique as Marco Rossi, mobile monetization analyst (3rd person).  

Finally, merge both into a single go‑to‑market choice with one metric to watch.”