Business Development Needs Middle Platform Thinking#
Business development is not just about delivering features—it requires examining every line of code through the lens of “Middle Platform Thinking” . This doesn’t mean business developers should build a middle platform; rather, it means every line of code they write should leave room for future reuse and capability crystallization.
I. The Core of Middle Platform Thinking: Design for Reuse, Code for Evolution#
Middle Platform Thinking is not a technical architecture or organizational model, but a design philosophy—asking a few extra questions when building any feature:
- Could this logic be used by other business scenarios in the future?
- If requirements change, can this feature be extended without modifying core code?
- Is the same data being processed repeatedly by multiple places in their own ways?
This thinking manifests in three specific dimensions for business development:
1. The Mindset of “Process Once, Serve Many” for Data#
The most common waste in business development is repeatedly performing ETL on the same data for different requirements. Operations wants a user activity report—dev writes a SQL query. Product wants a user segmentation—dev writes another similar SQL. Algorithms want feature engineering—another round. Each piece of logic serves only the immediate need, with no thought given to “can these processed results be crystallized?”
A business developer with Middle Platform Thinking would think:
Does this data cleaning and aggregation logic have general value? Can it be written as a reusable data view or service interface, so future needs can directly consume it rather than redeveloping from scratch?
User base attributes, behavioral tags, and transaction characteristics should essentially be processed only once and exposed through standardized data services. Business requirements can change, but the accumulation of data assets must not stop. Every data processing should leave traceable, reusable footprints in the “data asset catalog,” not scattered in temporary scripts.
2. “Explicitization” and “Configuration” of Business Rules#
Discount strategy changed → dev modifies code. Membership tiers adjusted → dev modifies code. Shipping template changed → dev modifies code. One of the most draining aspects of business development is repeatedly modifying business rules that are “written in code.”
Middle Platform Thinking demands: Extract business rules from code and manage them in an explicit, configurable manner.
| Business Rule | Traditional Approach | Middle Platform Thinking |
|---|---|---|
| Discount strategy | Written in if-else | Configured in a rule engine |
| Membership tiers | Hardcoded upgrade/downgrade conditions | Stored in parameter tables with admin UI |
| Shipping templates | Calculation logic hardcoded | Configurable templates + dynamic loading |
The benefit is not just “no need to release for rule changes”—it’s making business rules an auditable, reusable, independent asset. When writing code, business developers should prioritize determining: does this logic belong to “business rules” or “technical implementation”? The former should be configurable; only the latter belongs in code.
3. Interface Design “For the Future” Not “For the Present”#
A common business development scenario: Product says “we need to display user level on the order details page.” The developer directly writes a method in the order service to query the user level table, adding a userLevel field to the API response. Feature goes live, requirement done. But three months later, the membership system becomes an independent middle platform service, and all calls to query user level must switch to the new interface—forcing the order service to be modified, tested, and redeployed.
A business developer with Middle Platform Thinking, when writing that first line of code, would recognize: user level is not a core concept in the order domain—it’s a semantic dependency from an external source. The correct approach is to introduce this field via “extension attributes” in the order detail API, clearly annotating its source and version, reserving an adapter layer for potential future service splits and migrations.
This is not over-engineering—hardcoding dependencies is the real irresponsibility to the business. Interface design is essentially about defining domain boundaries. Business developers must remain sensitive to “what belongs to me and what doesn’t.”
II. How Middle Platform Thinking Pays Back to Business Development: Fast and Stable#
Some might question: won’t business development with Middle Platform Thinking slow down delivery? In the short term, spending extra time thinking does take a few more minutes than just piling on code. But in the long run, the opposite is true:
| Dimension | Traditional Development | Middle Platform Thinking |
|---|---|---|
| Data reuse | Each requirement starts from scratch—rewriting SQL, building indexes, tuning performance | Existing logic is reusable; call already-crystallized data services |
| Rule changes | Modify code, full regression test, release version | Modify config, validate effect—business dev becomes a “config admin” |
| Interface maintenance | Chaotic dependencies, scope of impact uncontrollable | Clear interface boundaries, explicit dependency directions, controlled change risk |
Middle Platform Thinking makes every delivery by business development accelerate the next delivery, not slow it down.
III. “Light Middle Platform” Practices from a Business Development Perspective#
If you’re part of a business R&D team, you don’t need to wait for the company’s middle platform strategy to land. You can start improving your work with Middle Platform Thinking right now:
First Thing: Build a Team “Common Capability Library”#
In daily business development, converge utility functions, data processing logic, and business rule definitions that are used by more than two requirements into a team-internal shared module with versioned management.
Don’t wait until it’s “generic enough” to abstract—two reuses is a signal.
Second Thing: Design a “Data Service Layer” Instead of “Scattered Data Queries”#
All data source access should be converged into a unified data access layer, shielding underlying table structure changes. Downstream business only depends on this abstraction layer, not directly on specific tables.
This way, when underlying ETL logic changes, upstream business code remains untouched.
Third Thing: Define “Domain Models” for Each Core Business Concept#
User, Order, Product, Payment—these core concepts should have unified model definitions in code, rather than each service defining its own User, Order, and Product.
Even if there’s only one service for now, follow this standard. Domain models are the carriers of business semantics—chaotic models mean chaotic business understanding.
These three things don’t depend on any middle platform infrastructure—they just need coding standards and team consensus. They are the “minimum viable practice” of Middle Platform Thinking.
Middle Platform Thinking brings business developers not extra burden, but a path from “grunt work” to “professionalism”:
- When every line of code you write considers asset crystallization and capability reuse, your work evolves from “fulfilling requirements” to “building capabilities”
- When your team has clear data assets, configurable business rules, and stable domain models, new requirements shift from “reinventing the wheel” to “building with LEGO blocks”
The best middle platform is not the grand narrative in strategic documents, but the simple, persistent commitment to “design for reuse” that every business developer consciously practices in daily coding. It doesn’t require waiting for a middle platform initiative to start—it can begin with the very next line of code you write.