• Member
• September 30, 2026

Problem Solver Solution Seeker Exchange

An Integrated Framework for Problem Discovery, Solution Generation, Cross-Domain Innovation, Experimentation and Impact

1. Executive Proposition

The Srijan Sanchar Problem Solver–Solution Seeker Exchange is a digital and human innovation infrastructure. It connects organisations that have problems (Solution Seekers) with researchers, faculty, students, startups, experts, innovators and other actors who hold relevant knowledge, capabilities, ideas or resources (Problem Solvers).

Its existing proposition is direct: Seekers bring real-world problems; Solvers bring solutions. The proposed next stage is broader. The Exchange becomes an orchestration system in which problems are structured, reframed and decomposed; matched with distributed capabilities; explored from multiple perspectives; transformed through cross-domain knowledge; tested; implemented collaboratively; and converted into reusable innovation knowledge.

Problem → Solver → Solution   becomes   Problem → Structure → Perspectives → Capabilities → Ideas → Recombination → Experiment → Validation → Implementation → Impact → Learning

Three commitments shape this version:

•     Honesty about novelty. Consistent with Srijan Sanchar’s principle of no false representation of novelty, the document does not claim that its primitives are new. The claim is a testable combination (Section 2).

•     Honesty about evidence. Every framework enters the Exchange as a hypothesis to be tested, not an assured capability (Sections 7 and 13).

•     An institution, not only an idea. An Exchange must work as a trusted, funded and governed organisation, so trust, IP, governance and operating model are treated explicitly (Sections 11 and 15).

2. Positioning and Prior Art

Problem-broadcast and open-innovation challenge platforms already exist, for example InnoCentive/Wazoku, NineSigma, HeroX and Innoget. So do technology-scouting marketplaces (for example Yet2), contest platforms (for example Kaggle and Topcoder), expert-network and research-profile systems, and public innovation programmes. This list is indicative, not a completed survey. Against that background, the elements of this architecture divide as follows.

Element	Established practice (borrowed)	What this architecture proposes (to be tested)
Problem intake	Challenge briefs posted by Seekers	A structured Problem Passport, with framing, prioritisation and partitioning completed before broadcast
Solver discovery	Open call; profile or keyword search	Capability Passports; structural as well as keyword matching; bidirectional search
Ideation support	Facilitated workshops, brainstorming, TRIZ-type methods, morphological analysis	A tiered framework path with built-in comparative testing (MPMA, AXIM, PAC, isomorphism, RISE)
Collaboration	Winner-takes-prize contests; consulting engagements	Solution constellations; recorded Contribution → Combination → Outcome
Evaluation	Judging panels	Grounding, coherence and value gates; blind independent scoring in the research pilot
Learning	Case studies; post-project reviews	Success Mode Records, FMSA and Innovation Memory feeding a staged knowledge graph

 

Position. The components are largely known. The candidate distinctiveness lies in the combination, especially structural matching, the tiered framework path with comparative testing built in, and the learning system. That is itself a hypothesis.

Discipline before any external claim. A formal prior-art search is to be run using the grounding discipline of Probabilistic AXIM v2: each element is classified as Known/Established, Emerging/Contested, or Grounded White Space, and only the last supports a novelty claim. Until then, external communication should describe the Exchange as a combination of established and new methods offered for testing.

3. The Fundamental Shift: One Canonical Flow

Version 1 stated the flow several times with different orderings. Version 2 uses one canonical flow of five phases, shown below. Phases iterate: exploration can return to framing, and a well-framed problem may enter at Explore or Mobilise. Direction B (Section 9) enters from the capability side.

Two different tests are kept apart. The RISE-based *structural stress test* asks whether an insight survives breakdown, regeneration and perturbation, before costly work begins. The *experiment* asks whether it works in reality. Version 1 called both “validation”; Version 2 does not.

4. Participants and Service Tiers

Role	Function
Solution Seeker	An organisation, MSME, government body, corporation or other entity seeking a solution.
Problem Solver	A researcher, faculty member, student, startup, expert, entrepreneur or innovator able to respond.
Problem Interpreter	Converts an inadequately defined problem into a structured problem and prepares the Problem Passport.
Innovation Orchestrator	Connects capabilities, perspectives, experiments and actors; assembles solution constellations.
Validation / Implementation Partner	Provides laboratories, manufacturing capability, field environments, finance, IP support, incubation or market access.
Independent Evaluator (new)	Scores submissions at the gates and in the research pilot. Does not contribute to what is being scored and is not an author of the frameworks under test.

 

The same individual or organisation can occupy several roles, with one restriction: no one evaluates a submission they contributed to, and Interpreters and Orchestrators disclose their interests in an engagement.

Service tiers. Human Interpreter and Orchestrator capacity is scarce, so it is itself allocated by leverage (the Recursive Pareto principle applied to the Exchange’s own resources).

Tier	What the Seeker receives	Suited to
1. Guided	Self-serve, AI-assisted framing and the standard path; human review at gates only	Routine or lower-leverage problems; high volume
2. Interpreted	A human Interpreter prepares the Passport and runs the standard path	Moderately complex problems
3. Orchestrated	Full orchestration: constellations, experiments, implementation partners	High-leverage, partitioned problems

5. Passports: Problem and Capability

5.1 The Problem Passport

Every significant challenge entering the Exchange acquires a Problem Passport.

•     Identity: problem ID; owner; sector; geography; scale.

•     Situation: observed phenomenon; desired outcome; current condition; known causes; unknown causes; constraints.

•     History: existing solutions; previous attempts; failed attempts.

•     Resources and value: available assets; missing capabilities; economic, social and environmental value.

•     Terms: time horizon; technology readiness; IP status; success criteria; required expertise; potential collaborators; experiment possibilities; reward or opportunity.

•     Disclosure tier (new): which fields are visible to whom (Section 11). Framing status (new): draft, reviewed or approved; approval is Gate G1.

5.2 The Capability Passport

A conventional CV describes what a person has done. A Capability Passport describes what a person can contribute, and states how strongly each claim is evidenced.

•     Domain and technical expertise; research, prototype and experimentation capability.

•     Equipment, laboratory and manufacturing access; software, materials and previous solutions.

•     Problems previously solved (described by structure as well as by topic; see Section 9); available time and location.

•     Collaboration preference; commercialisation and IP capability; mentoring and cross-domain interests.

•     Evidence level (new): self-declared; endorsed by a peer or institution; or evidenced by prior work or a verified test.

Personal and organisational data. Passports contain personal and commercial information. Consent, purpose limitation and access control are required, and legal review against applicable law, including India’s Digital Personal Data Protection Act, 2023, is needed before launch.

6. The Role of AI

Version 1 did not say where AI sits. Version 2 adopts a human–AI division of labour: the human supplies purpose, judgement, values and selection; the frameworks supply explicit cognitive structure; AI supplies abundant generation. The frameworks then make intermediate structures (alternatives, tests, failures, invariants) visible to humans for review, challenge and correction.

This is the Intelligence Legibility principle: implicit AI capability should become visible, inspectable, challengeable, traceable and governable. It is not the same as exposing an AI system’s internal computation.

Task	AI assistance	Human decision	Legibility requirement
Passport drafting	Draft Problem and Capability Passports from documents or interviews	Owner confirms	Fields marked AI-drafted or owner-confirmed
Framing and partitioning	Propose alternative framings and partitions	Interpreter selects	All alternatives retained in the record
Perspectives, analogies, axes	Generate source domains, analogies and candidate axes	Facilitator curates	Provenance of each item logged
Candidate matching	Propose matches at keyword, structural and isomorphic levels	Orchestrator approves	Match rationale displayed
Prior-art check	Search and classify	Evaluator confirms	Sources and rights flag stored
Structural stress test	Run breakdown and regeneration probes	Evaluator judges	Probe results shown

 

•     No AI-generated item enters a Solution Portfolio without passing the grounding gate and human sign-off.

•     AI contributions are recorded in the Contribution Ledger distinctly from human contributions.

•     The research pilot includes AI-only comparison arms (Section 13), so the frameworks are tested against AI practice, not only against unaided practice.

Open question. In AI-abundant conditions the value of generating ideas may fall. The Exchange’s durable value may lie more in framing, grounding, matching, testing and implementation, where human and institutional roles remain. The pilot should watch for this.

7. The Ten Frameworks

The ten frameworks are of uneven maturity. Version 2 states the maturity of each and arranges them in tiers, so that no Seeker is required to use all ten. Maturity legend: M0 concept; M1 documented working methodology; M2 applied in real cases; M3 comparatively validated. None has yet been comparatively validated inside the Exchange, so every effect below is a hypothesis [H]. The maturity ratings are provisional (Appendix B).

No.	Framework	Question and role in the Exchange	[H] Effect and metric	Maturity / tier
1	Problem Framing	What is the real problem worth solving? Moves from observation to gap, causes, perspectives, reframing and an actionable problem.	Better problem statements; less wasted solver effort. Metric: Passport quality score; solver clarification queries; share of problems reframed.	M1 · Standard
2	Recursive Pareto / ABC / Double-A Analysis	Where is the leverage? Concentrates attention on high-value elements while recognising the limits of over-concentration. Also allocates the Exchange’s human capacity (Section 4).	Higher leverage per unit of search effort. Metric: share of eventual value traceable to prioritised elements (retrospective).	Base technique M3; Srijan extension M1 · Standard
3	Problem Partitioning	How can a complex problem be divided into solvable structures? Creates subsystem, interface and integration problems as separate opportunities.	More entry points for specialists; easier collaboration. Metric: distinct contributors per partitioned problem; sub-problem solve rate.	M1 · Standard
4	MPMA — Multiple Perspective through Multiple Analogy (2013)	What does the problem look like from other domains? Multiple source domains are structured first and applied to the target afterwards.	Wider idea diversity. Metric: Perspective Yield against baseline arms.	M2 · Standard
5	AXIM — Autonomous Axis Identification Methodology, with Probabilistic AXIM (Grounded Surprisal)	Along what independent dimensions can the problem vary? Derives problem-specific axes. The grounding gate (Section 8) is its prior-art discipline.	Larger structured possibility space. Metric: axes accepted by experts as independent; configurations surviving the grounding gate.	M1 · Experimental arm
6	PAC — Projective Analytic Continuity	What whole could account for this partial observation, and what if the problem is represented differently? Supplies representation-transforming operators (shifting, inversion, decomposition, recombination, translation, boundary change).	Reframing; new solution architectures. Metric: accepted new representations; Perspective Yield; downstream implementation.	M1 · Experimental arm
7	Isomorphism-Enabled Interdisciplinarity (ICDIDF)	Where does another discipline already hold the same underlying structure? Searches for structural equivalence, not surface similarity. Also drives structural matching (Section 9).	Unexpected capability discovery. Metric: structural-match acceptance against keyword baseline; cross-domain transfers realised.	M1 · Experimental arm
8	RISE — Recursive Invariant Synthesis for Essence	What survives? In the Exchange it serves as the structural stress test: breakdown, regeneration and stability under perturbation.	Fewer false positives reaching costly experiments. Metric: false-positive rate at experiment stage; agreement between RISE robustness and later outcomes.	M1 · Experimental arm
9	Thought–Action / Idea-to-Product Continuum (incl. Thought-Action Network)	How does insight become implementation? Pathway from thought through concept, design, prototype and experiment to deployment, with feedback loops.	Fewer engagements ending at ideation. Metric: Cognitive Conversion Rate; stage-to-stage drop-off.	M1 · Standard
10	VLSI — Very Large Scale Innovation	How can distributed capabilities work together? Builds solution constellations across industry, academia, startups, laboratories, investors and implementation partners.	Coordinated capacity from individual contributions. Metric: constellation completion rate; time to pilot.	M1 · Conditional (partitioned problems needing three or more contributor types)

 

Tiers. The standard path (1, 2, 3, 4, 9) applies to every engagement. The experimental arms (5, 6, 7, 8) are assigned by the research design (Section 13) so that their contribution can be measured. Framework 10 is conditional on problem structure.

8. Stage Logic, Artefacts and Gates

Stage	Purpose	Frameworks	Output artefact	Gate
S1 Intake and framing	Establish the real problem	1	Problem Passport (draft to approved)	G1 Passport quality
S2 Prioritise and partition	Locate leverage; create tractable units	2, 3	Ranked, partitioned problem map	—
S3 Explore	Perspectives, axes, transformations, structural search	4, 5, 6, 7 (by tier)	Perspective set; axis set; candidate structures	—
S4 Mobilise	Match and assemble contributors	7, 10	Match list; constellation plan	Orchestrator approval with match rationale
S5 Portfolio and grounding	Consolidate solutions; check prior art	5	Solution Portfolio classified Known / Emerging / Grounded White Space	G Grounding gate
S6 Structural stress test and recombination	Separate robust from merely attractive	8	Stress-test report; recombined candidates	C Coherence gate
S7 Experiment and empirical validation	Test in reality	9	Experiment protocol and results	V Stakeholder value gate
S8 Implementation	Deploy and adopt	9, 10	Pilot or deployment record	Seeker’s adoption decision
S9 Learning	Record and learn	SMR, FMSA, SMIA	Success Mode Record; failure record; Innovation Memory entry	—

 

Gate definitions. The gates follow the design of the insight-generation process.

•     Grounding (G) is a hard constraint on what the Exchange may say about a solution, not a weighted score. Each candidate is classified as Known/Established, Emerging/Contested (closing fast) or Grounded White Space. Only the last may be described as new. Known items carry a source and rights flag.

•     Coherence (C): the candidate is internally consistent and survives the structural stress test.

•     Stakeholder Value (V): value to the named stakeholder, plus an externalities check beyond the named stakeholder.

9. The Bidirectional Exchange and Structural Matching

Direction A — Problem → Capability: “I have a problem. Who can help solve it?” Direction B — Capability → Problem: “I have a capability. What problems can it solve?” Together they make the word *Exchange* substantive: problems seek capabilities, and capabilities seek problems.

Version 1 asserted that the Exchange could match Problem Structure with Capability Structure rather than keyword with keyword. Version 2 treats that as the hardest technical claim and specifies it as three levels:

Level	Basis of match	Role
L1 Attribute	Keywords, domains, equipment, location, availability	Baseline; always run
L2 Structural	The problem’s partition, constraints and axes compared with the structure of problems the capability holder has previously solved	Tested against L1
L3 Isomorphic	A contributor from a different domain who has worked with the same underlying structure	Tested against L1 and L2

 

Levels L2 and L3 require a minimal shared structural vocabulary in both Passports (phenomenon, constraints, partition interfaces, axes). Hypothesis H-M: L2 and L3 matching surfaces qualified contributors that L1 misses, at acceptable precision. Test: run L1 alongside L2 and L3 on pilot problems and compare match acceptance and the contributions that reach the Solution Portfolio, under blind review. Fallback: if the vocabulary proves too costly to maintain, retain L1 with human-curated structure tags.

10. Solution Constellations and the Contribution Ledger

A complex challenge may need a conceptual insight, engineering capability, laboratory validation, startup prototyping, industrial manufacturing and investment. The Exchange therefore records Contribution → Combination → Outcome rather than Winner → Prize.

Contributor	Contribution	Stage	Evidence	Outcome
Industry	Problem	Framing	Problem Passport	Challenge
Researcher	Structural insight	Explore	Submission	New concept
Student	Analogy	Explore	MPMA record	Design change
Laboratory	Experiment	Experiment	Test result	Evidence
Startup	Prototype	Development	Prototype	Pilot
Manufacturer	Scale-up	Implementation	Production record	Deployment
Independent Evaluator	Scoring	Gates	Score sheet	Gate decision
AI tool (recorded distinctly)	Generation or search	Any	Provenance log	Candidate items

 

From record to recognition. The ledger is a record. How contributions are recognised or rewarded is a separate mechanism. The Contribution Ledger Model (a threshold gate combined with a realisation share, developed for the TOYNOVA 2027 proposal) is the candidate mechanism, pending testing in the Exchange. Two design notes carry over. Contributions differ in kind (conceptual, experimental, developmental, manufacturing, capital), so a single scalar weight is unlikely to suffice. Early trust-building interactions should not be priced or tokenised in ways that undermine that trust.

11. Trust, IP, Confidentiality and Governance

•     Tiered disclosure. Each Passport field carries a disclosure tier. Illustrative tiers: T0 public signal (sector, need, opportunity); T1 structured summary for registered users; T2 detail released after agreement; T3 full detail restricted to selected contributors. To be aligned with the Opportunity Commons tiered-disclosure model.

•     IP principles. Default positions for each engagement type are published in advance. Background and foreground IP are distinguished. A contributor’s submission remains theirs unless assigned by agreement, and the Seeker’s data remains the Seeker’s. Ledger entries are evidence of contribution, not a transfer of rights. Standard agreements require legal counsel.

•     Innovation Memory access. Memory entries follow the same disclosure tiers as their source Passports. The knowledge graph learns from anonymised structural patterns, not from confidential content.

•     Conflicts of interest. Interpreter, Orchestrator and Evaluator roles are separated for any given engagement, and interests are disclosed.

•     Governance. An advisory body drawn from Seekers, Solvers, academia and legal expertise; published rules; a dispute-handling procedure; periodic audit of gate decisions.

•     Data protection. As Section 5.2.

12. The Learning System

12.1 Success Mode Record (SMR) and SMIA

Version 1 used the acronym SMIA for a per-engagement table. Version 2 separates the data from the analysis. The Success Mode Record is completed for each engagement. Success-Mode Impact Assessment (SMIA) is the framework-level analysis run across records: it asks where a framework creates measurable advantage rather than whether it “works”. It uses seven candidate success modes (Understanding, Creation, Transformation, Communication, Decision-making, AI augmentation, Discovery), three impact levels (Cognitive, Generative, Outcome), an alternative-practice test comparing current practice, framework-assisted practice and AI-plus-framework practice, and a falsification requirement: for every claimed benefit, try to show the framework was unnecessary.

SMR dimension	Question
Problem	What was being solved?
Intervention	What was actually done?
Framework	Which Srijan Sanchar method was used, at which stage?
Perspective	What new view changed the problem?
Capability and combination	Who contributed, and which capabilities were recombined?
Experiment and decision	What was tested, and what caused adoption?
Impact	What changed?
Time and cost	How long did it take and what resources were required?
Replicability and spillover	Can it work elsewhere, and what other problems can it address?
Counterfactual (new)	What would current practice or an AI-only approach likely have produced?

12.2 FMSA

Failure Mode Success Analysis is used at two points. *Prospectively* (as published): a project is deconstructed into modules, failure modes are identified for each, and the alternative success paths each module could yield even if the overall project fails are scored. In the Exchange this runs before spend at S4 and S7. *Retrospectively* (an extension proposed here): when an attempt fails, the record captures the failure mode, the underlying condition, the success condition that would have been necessary, the relevant framework response and the improved protocol. Example: a technology works technically but cannot be manufactured economically. Instead of recording “solution failed”, the record captures the manufacturing-cost condition and the protocol change that would surface it earlier.

12.3 The learning loop and Innovation Memory

Exchange activity → success or failure → SMR / FMSA → success mechanisms and failure conditions → SMIA → knowledge update → framework improvement → better next problem

The Exchange maintains a permanent Srijan Innovation Memory recording: the problem and initial assumptions; reframing and subsequent understanding; search and solver selection; perspectives and frameworks used; ideas generated and selection rationale; experiments and results; success and failure modes; contributions and contributors; outcome and impact; and transferability to other problems.

12.4 From records to a knowledge graph, in stages

Stage	Content	Proceed when
0 Structured records	Passports, SMRs, FMSA records, ledger entries in consistent formats	Records are complete and actually used in later engagements
1 Linked graph	Problems, phenomena, constraints, frameworks, perspectives, capabilities, people, laboratories, technologies, solutions, experiments, success modes, failure modes, applications and markets, linked by typed relations	Stage 0 data quality is verified and disclosure tiers are enforced
2 Inference and recommendation	Suggested matches, framework paths and likely failure modes for new problems	Recommendations outperform the L1 and human-only baselines in the pilot

13. The Exchange as a Research Laboratory

Every problem is an opportunity to learn which framework works, in which type of problem, under what conditions, at what stage and with what measurable impact. Version 1 stated this aim; Version 2 specifies how it would be done.

13.1 Research questions

•     RQ1. Does the standard path improve problem quality relative to conventional intake?

•     RQ2. Do the experimental arms (AXIM, PAC, isomorphism, RISE) raise Perspective Yield beyond the standard path, and for which problem types?

•     RQ3. Does structural matching find qualified contributors that keyword matching misses?

•     RQ4. Does the RISE stress test reduce false positives before experiment?

•     RQ5. Does the framework-assisted path improve implementation rate and impact against the alternatives, including AI-only practice?

13.2 Design

•     Comparison arms: (a) current practice; (b) generic AI prompting; (c) expert prompting or facilitation without Srijan frameworks; (d) standard path; (e) standard path with AI; (f) standard path plus experimental framework(s) with AI. Not every arm runs on every problem; arms are allocated across matched problem classes.

•     Allocation: random or matched-pair assignment within problem classes, with the class recorded in the Problem Passport.

•     Blind independent scoring: evaluators who are not framework authors and do not know the arm, using a scoring sheet agreed in advance. Ideas are scored after the grounding gate.

•     Pre-registration: metrics, thresholds and stop rules are written down before the pilot begins.

•     Falsification requirement: for each claimed benefit, the evaluation actively tries to show the framework was unnecessary.

•     Scale caution: a small pilot gives indicative, not conclusive, evidence. Results are reported with uncertainty and are subject to independent review, since the framework set is largely single-author.

•     Participants: informed that they take part in a comparative study; confidentiality preserved.

14. Metrics

Family	Metric	Operational definition
Input	Coverage	Problems, solvers, capabilities, disciplines and organisations registered.
Process	Framing and matching	Problems framed and partitioned; perspectives generated; matches proposed and accepted. Match Precision = accepted matches ÷ proposed matches, reported by level (L1, L2, L3).
Conversion	Cognitive Conversion Rate (CCR)	Actionable innovations ÷ registered engagements, measured at a fixed horizon (for example 12 months). An *actionable innovation* passes gates G, C and V and has a named implementation owner with committed resources. The denominator includes every registered engagement, abandoned ones too. Reported by problem class and service tier.
Conversion	Funnel	Shortlisted solutions, prototypes, pilots, adopted solutions, commercialised technologies, startups formed.
Learning	Perspective Yield (PY)	Independently rated useful solution directions ÷ structured perspective interventions. *Useful* means scored above a pre-agreed threshold in blind scoring and not classified Known at the grounding gate. Reported per intervention and per facilitation hour, and compared across arms.
Learning	Knowledge growth	Success modes and failure records logged; framework refinements; reusable insights; cross-domain transfers realised.
Impact	Outcomes	Cost reduction, revenue, productivity, social and environmental outcomes, jobs, IP and cluster-level effects; Seeker-reported and independently verified where feasible.

15. Operating Model and Pilot Phasing

15.1 Funding options (decision open)

•     Seeker fees by service tier.

•     Anchor sponsors, such as industry bodies and government programmes.

•     Grants and academic funding for the research pilot.

•     Success-linked shares through the ledger mechanism (Section 10).

•     Solver-side services such as mentoring and IP support.

15.2 Cold start

Begin with a bounded community around an existing programme where Seekers and Solvers already gather, for example the TAI–Srijan Sanchar TOYNOVA design challenges, in one or two sectors. Seed Capability Passports from existing participants, and run Direction B early so that Solvers see value before large numbers of Seekers arrive.

15.3 Phasing

Phase	Focus	Outputs	Decision gate
0 Foundation	Prior-art search; terminology lock; legal templates (IP, disclosure, data protection); scoring sheets; pre-registration	Prior-art classification; agreements; protocol	Prior-art and legal review complete
1 Controlled pilot	A bounded set of real problems (indicatively 10–20) in one or two sectors, with arms allocated per Section 13; Tier 2–3 service	Passports, SMRs, ledger entries, blind-scored results	Pre-agreed criteria met; independent review of results
2 Extension	Broaden sectors; add Tier 1 Guided service using the frameworks that proved worthwhile; refine matching	Service catalogue; matching performance data	Unit economics and Match Precision acceptable
3 Knowledge graph and network	Stage 1–2 graph; recommendations; wider governance	Graph; recommendation service	Memory quality and governance verified

16. Risks and Open Questions

Risk	Why it matters	Mitigation
Framework overload for Seekers	Ten frameworks may intimidate or slow Seekers	Tiered path; Seekers see outputs rather than method
Human capacity bottleneck	Interpreters and Orchestrators are scarce	Service tiers; leverage-based allocation; legible AI assistance; training
Structural matching proves impractical	The shared vocabulary may cost too much	Keep L1 baseline; curated tags; test early
Circular evaluation	Framework authors scoring their own outputs	Independent blind evaluators; pre-registration
Over-claiming novelty or effect	Credibility and integrity	Prior-art gate; [H] labelling; status statement
IP and confidentiality disputes	Loss of trust	Tiered disclosure; standard agreements; legal counsel
Flood of low-quality or AI-generated submissions	Signal dilution	Grounding gate; evidence levels; submission limits
Cold start	Too few Seekers or Solvers	Anchor programme; Direction B first
Single-author dependence	The framework set is largely from one source	Independent adversarial review; compare against alternative methods such as TRIZ-type and generic morphological analysis
Innovation Memory leakage	Memory may hold confidential content	Tiered access; anonymised patterns only

 

Open questions. (1) What minimal structural vocabulary can Passports share? (2) Which problem classes benefit from which frameworks? (3) Which funding model fits which sector? (4) How should recognition differ across kinds of contribution? (5) Does the value of ideas hold up in AI-abundant conditions, and if not, where does the Exchange’s value sit?

17. Strategic Proposition and Core Thesis

The Exchange should not be positioned merely as a platform for finding solutions. Its candidate deeper proposition is an innovation operating system for converting distributed knowledge into validated action, offered as a hypothesis for testing. Any distinctive capability would come from combining Problem Intelligence, Perspective Intelligence, Capability Intelligence, Cross-Domain Intelligence, Experimentation, Validation, Contribution Recognition and Innovation Memory.

The Exchange begins with “I have a problem. You may have a solution.” It then evolves: “We have a problem. Let us understand it better.” “Let us see it differently.” “Let us discover who, anywhere, understands some part of its structure.” “Let us combine those capabilities.” “Let us experiment.” “Let us understand why it succeeded or failed.” And finally: “Let us make what we learned available for the next problem.”

PROBLEM → INSIGHT → POSSIBILITY → COLLABORATION → EXPERIMENT → SOLUTION → IMPACT → LEARNING → NEW POSSIBILITY

The ultimate value of the Exchange is not the number of solutions it produces. It is the increasing problem-solving capacity of the network. A successful Exchange becomes more intelligent with every problem, solver, analogy, experiment, success, failure, contribution and implementation. The destination is the Srijan Sanchar Innovation Exchange:

Next step. Complete Phase 0 (prior-art search, terminology lock, legal templates, pre-registration), then run the controlled pilot in Section 15 and measure problem quality, solution diversity, solution validity, implementation rate and impact against the comparison arms. The Exchange can thereby become the empirical laboratory for a Srijan Sanchar Framework of Frameworks.

 

Appendix A. Terminology Register

Term	Full name or definition used here	Note
PAC	Projective Analytic Continuity	Version 1 expanded it as “Perspective-Transform and Operator Architecture”; corrected.
AXIM	Autonomous Axis Identification Methodology; Probabilistic AXIM (Grounded Surprisal, v2)	Version 1 expanded it as “Morphological Axis Methodology”; corrected.
RISE	Recursive Invariant Synthesis for Essence	Used here as the structural stress test; the wider essence-finding methodology is unchanged.
MPMA	Multiple Perspective through Multiple Analogy (2013)	Distinct from Structural Analysis (formerly “MPMA v0.1”).
SMIA	Success-Mode Impact Assessment	Framework-level evaluation. Version 1 expanded it as “Success Mode Impact Analysis” and used it for per-engagement data.
SMR	Success Mode Record	New in Version 2; the per-engagement data that SMIA analyses.
FMSA	Failure Mode Success Analysis	Prospective use as published; retrospective use is an extension proposed here.
Success Mode Analysis	The inverse-FMEA loop in NPD 2.0	A distinct construct; not used in this document.
TAN	Thought-Action Network	Underlies Framework 9.
VLSI	Very Large Scale Innovation	Not the chip-design term; expanded on first use.
ICDIDF	[Expansion to be confirmed by the author]	Version 1 gave the acronym only.
Contribution Ledger	A record of Contribution → Combination → Outcome (Section 10)	Distinct from the Contribution Ledger Model (threshold gate plus realisation share).
Opportunity Commons	Tiered-disclosure signal model	Referenced in Section 11.
Intelligence Legibility	The degree to which implicit AI capability becomes visible, inspectable, challengeable, comparable, traceable, reproducible, teachable and governable	Section 6.
CCR, PY	Cognitive Conversion Rate; Perspective Yield	Defined in Section 14.

Appendix B. Change Log and Items for Author Confirmation

B.1 Changes from Version 1.0

#	Version 1 issue	Version 2 change
1	Terminology conflicted with published definitions (PAC, AXIM, SMIA, FMSA, RISE; unexpanded ICDIDF and VLSI)	Corrected throughout; Appendix A register added
2	Impact arrows (↑↑↑) asserted unvalidated effects; status statement came last	Status statement moved to the front; arrows replaced by [H] hypotheses with metrics (Section 7)
3	“Validation” used for both structural testing and experiment	Structural stress test and empirical experiment separated (Sections 3 and 8)
4	Research-laboratory claim had no design; metrics undefined	Research questions, arms, blind scoring and pre-registration (Section 13); operational metric definitions (Section 14)
5	No prior-art or positioning section	Section 2, with a prior-art gate before any novelty claim
6	Institution missing: funding, cold start, capacity, trust, IP, governance	Sections 4, 11 and 15
7	Ledger was a table only	Linked to the Contribution Ledger Model and Opportunity Commons (Sections 10 and 11)
8	AI absent	Section 6, with Intelligence Legibility and AI-only comparison arms
9	Structure–structure matching asserted	Specified as three levels with a hypothesis, test and fallback (Section 9)
10	Flow chain repeated four times; closing sections repeated each other	One canonical flow with diagram (Section 3); former Sections 31–33 merged into Section 17
11	Frameworks presented as uniformly ready	Maturity ratings and standard / experimental / conditional tiers (Section 7)

B.2 Items awaiting author confirmation

•     ICDIDF: the full expansion.

•     Maturity ratings (M0–M3) and tier assignments in Section 7 are provisional.

•     Framework 6: Version 1 listed the transformation operators (shifting, inversion, decomposition, recombination, translation, boundary change) under “PAC / Perspective-Transform and Operator Architecture”. Version 2 keeps the list under PAC. Please confirm whether these belong to PAC, to the Framework of Perspectives, or to another operator set.

•     VLSI: Version 2 retains Version 1’s description; a fuller definition would help.

•     Disclosure tiers in Section 11 are illustrative and should be reconciled with the Opportunity Commons model.

•     Pilot size (10–20 problems) and the 12-month CCR horizon are indicative.

•     Prior-art list in Section 2 is indicative; the formal search remains to be done.