1. How Xiaomi Started with Real Love for Users
When Xiaomi began, its entire philosophy was built on 真心 (real heart) for its community.
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They co-created products with users, not for users.
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They kept profit margins extremely low because the mission was:
“Let everyone enjoy good technology.” -
Their early MIUI software improvements came directly from user feedback loops.
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Every Friday update was a message that said,
“We hear you. We care. We build because of you.”
This is Love Intelligence in its purest form:
Care → Listening → Co-creation → Loyalty → Growth.
As a result, Xiaomi grew a fanbase, not customers.
People trusted them because the love was real, consistent, and user-focused.
2. How Love Shifted Into Hype, Speed, and Market Share Obsession
As the company scaled, the internal compass slowly shifted:
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Internal KPIs became about speed, volume, and market share, not user happiness.
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Marketing grew more aggressive, sometimes exaggerating product capabilities.
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Hardware release cycles became too fast, sometimes sacrificing quality.
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The original “community feedback” system weakened as the brand globalised.
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Instead of serving users, the focus shifted to chasing competitors.
This is when real love became performance love —
beautiful on the outside, unstable on the inside.
Once love becomes conditional on vanity metrics,
the relationship between brand and customers starts to crack.
3. How Wrong Love Leads to Loss of Trust, Value, and Market Confidence
When love is misdirected — towards ego, speed, or numbers —
the consequences appear quickly:
• Customers lose trust
They feel the brand is no longer putting them first.
They sense the exaggeration.
They see the shortcuts.
• Market value drops
Investors lose confidence because the emotional bond with customers weakens.
• Reputation becomes inconsistent
Some products great, some disappointing — meaning love is no longer steady.
• Competitors catch up easily
When a brand’s love becomes unstable, customers look for alternatives.
In Xiaomi’s case, this shift created doubt in both consumers and investors.
A brand built on love became a brand questioned for hype.
Once trust dips, even a great product loses impact.
4. The 3 Red Flags When Love Is Misdirected
These apply to any company, leader, or team:
Red Flag #1: Love becomes self-serving instead of user-serving
You start asking:
“How can we win?”
instead of
“How can we serve?”
When love serves ego, not people, trust breaks.
Red Flag #2: Speed replaces sincerity
Rushing, pushing, and chasing numbers replace listening and improving.
When speed > sincerity, quality drops and people feel manipulated.
Red Flag #3: Hype replaces honesty
Overselling, exaggerating features, and prioritising image over substance.
When image > integrity, confidence collapses.
5. How to Ensure Your LQ Stays Pure, Strong, and Profitable
To maintain Love Intelligence that builds lasting success:
1. Return to “用户为本” — user-first love
Every decision must answer one question:
“Is this truly good for the people we serve?”
Real love creates real loyalty.
2. Build the 3Cs: Care, Courage, Connection
Care
Put sincerity before speed.
Put value before vanity metrics.
Courage
Dare to say “no” to hype.
Dare to slow down to maintain quality.
Connection
Keep listening loops alive:
customers → feedback → improvement → trust.
3. Protect Integrity — your strongest currency
Never exaggerate.
Never manipulate.
Never let marketing run faster than reality.
4. Align love with long-term value, not short-term performance
Real LQ grows slowly, but stays forever.
Fake LQ grows fast, but collapses even faster.
5. Keep love human, not mechanical
Even with AI, automation, and global scale,
LQ must remain a human philosophy, not a marketing tactic.
When people feel your sincerity —
your brand becomes irreplaceable.
In Summary
Xiaomi’s story teaches a powerful Love Intelligence lesson:
Pure love creates loyalty.
Misguided love creates instability.
Strategic love creates long-term success.
When leaders anchor their decisions in real care, courageous honesty, and meaningful connection,
their brand becomes trusted, stable, and profitable — in every era, including AI.

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