These observations reflect products built without understanding the market, tech, users, and future aspects. The 360-degree analysis seems missing. I do it for tech, I do it because I like to do it. I also have gone thru the bias.
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- What you do, Why you do
- Markets / Current Landscape
- What do you do differently
- How much are you challenging current players
Being a consultant to see both sides is important
- Ability to influence determines growth. Confidence – Competence – Conviction - Authenticity
- Confidence comes with Plan, Preparation, Awareness, Communication, Preparedness
- Listening helps to Collect data. Consulting = Minimal talking, Maximum Listening
- Presentation - Purpose – Drivers – Case Studies
- Open-ended questions let you know why. What – Gold, Why - Platinum
I would still rate Khan Academy >>> Byju's. Money is not the only factor of success.
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Template - Link
From AI / ML Standpoint
Conversations to Connect / Click
When to sell?
Spotting the right time/opportunity to put a conversation around AI / ML is the key. When there are needs, its easy to convince
Internal Alignment
Team alignment on Data, Analytics, AI/ML is key
AI / ML
- Broader future context
- Better customer retention / experience
- Revenue point of view spot AI / ML opportunities
- AI / ML opportunities in the broader context of competition
- Staying Competitive
Keep Thinking!!!!
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