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Shift 8 of 8

The purpose is to make fewer disputes necessary.

FromCase by caseToNetwork learning

The purpose of a dispute system isn’t to get better at handling disputes. It is to make fewer of them necessary. When individual failures become shared learning, patterns across thousands of cases can become better standards, tools and support, without any one party controlling the network.

Level 1 Concept2 min read

Ten thousand disputes, one improvement

Across a network, thousands of disputes involve the same kind of order. They look like separate problems: different buyers, different sellers, different cities.

But the pattern is clear. The meaning of “delivered” in this category is ambiguous. Buyers think it means installed. Sellers think it means dropped at the door.

The network updates the standard. Future transactions include a clear definition and the right evidence, and disputes in that category fall sharply illustrative. Ten thousand disputes become one improvement that every future transaction inherits.

Three levels of learning

Participant. What does this participant need to improve? Dispute, diagnosis, support, verification.

Network. What keeps going wrong across many participants? Pattern, root cause, network-wide fix, measurement.

Protocol. Do the underlying standards need to change? Recurring failure, structural cause, updated standard, new behaviour.

A pattern of small sellers misunderstanding the same requirement may not be a seller problem at all. Perhaps the requirement could be clearer, or participants need better tools. The network learns to ask.

The trust flywheel

The eight shifts join into a loop. Each cycle leaves the next one better informed, and underneath all of it sits network learning.

DiscoverProtectCommitFulfilEvidenceExceptionResolveImproveRecogniseLearnNETWORKLEARNING

Go deeper

What changes for everyone
  • Buyers move from “which platform should I trust?” to “under what conditions am I willing to transact?”
  • Sellers gain a portable record of reliability that becomes a real economic asset.
  • Apps compete on experience, discovery and service, without each one rebuilding trust from scratch.
  • Payment providers move from “did the payment succeed?” to “when should it be released?”
  • Network operators get a feedback system that shows where, why and how transactions fail.
  • Small businesses get strong protections without having to build them alone.
  • The network itself moves from interoperability to accountable interoperability.
The economic flywheel

Better protection brings more willingness to transact. More transactions mean more evidence, and more evidence means better reputation signals. Better signals improve discovery, discovery lets participants compete on real capability, and capability attracts investment. Investment brings fewer failures, fewer failures build greater trust, and greater trust brings more participation.

Participation generates the evidence that makes future participation safer.
Learning without control

Shared governance. Changes to standards are decided openly, with buyers, sellers, apps and service providers represented, never quietly by one party. ONDC’s 2022 consultation paper pointed the same way, proposing a User Council of participants and civil society to advise on policy, and an independent disciplinary body for enforcement[1].

Anonymised learning. Patterns are learned from aggregated, anonymised data.

No monopoly on the lessons. There are common mechanisms for evidence, classification, outcomes and standards, with many providers building around them. The network gets smarter without becoming a monopoly.

What could go wrong

  • Pattern or noise.Small numbers can produce patterns that aren’t real.
  • Capture.Whoever sets the standard shapes the network, so representation has to be real.
  • Anonymity that doesn’t hold.In a small category, an anonymised case can still be recognised.
  • Fixing the wrong thing.A clearer definition won’t help if disputes come from price pressure or capacity.

How we’d test it

One category, for a full quarter.

The test
Classify and fix
What we would measure
Classify every dispute by root cause. Fix the top three patterns through clearer standards, better tools or participant support. Measure whether disputes in those patterns fall and stay down.
What would end the idea
The top patterns don’t fall after the fix, or return within a quarter.
In short

The top three patterns don’t fall after the fix, or come back within a quarter.

Sources

  1. [1]ONDC, Building Trust in the ONDC Network: Consultation Paper (29 September 2022), sections 4.8 and 4.9Checked; proposals for comment, not adopted policy

Spotted a source we missed or a rule we misread? Tell us what we got wrong.

Don’t build a platform that owns trust. Build infrastructure that lets trust travel.