{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"catalytic_pathway_enablement__human_computer_interaction:P1:v0","cell_id":"catalytic_pathway_enablement__human_computer_interaction","search_queries":["site:dl.acm.org bug report reproduction steps expected actual behavior empirical study what makes a good bug report","accessibility bug reporting barriers users developers reproducible issue HCI research","official session replay user feedback screenshot privacy masking bug report product documentation","user invoked bug report capture console network logs session replay product","Bettenburg Just et al what makes a good bug report 2008 PDF","site:docs.sentry.io session replay user feedback screenshot masking official","site:w3.org WAI reporting accessibility problems website contact organizations","site:eur-lex.europa.eu GDPR Article 5 data minimisation Article 25 data protection by design","Sentry docs session replay privacy masking user feedback official documentation","site:docs.sentry.io platform javascript session-replay privacy configuration mask text block media network detail allowUrls","EUR-Lex regulation 2016 679 Article 5 data minimisation storage limitation Article 25 official journal","OWASP logging cheat sheet data to exclude passwords access tokens sensitive personal data"],"sources":[{"source_id":"s1","title":"What Makes a Good Bug Report? Revision 1.1","publisher":"Saarland University Software Engineering Chair","url":"https://www.st.cs.uni-saarland.de/publications/files/bettenburg-tr-2008.pdf","source_class":"PRIMARY_RESEARCH","publication_date":"2008-03-12","accessed_at":"2026-08-03","claims_supported":["A survey of Apache, Eclipse, and Mozilla developers and reporters found a mismatch between information developers need and information reporters supply.","Developers rated steps to reproduce as particularly important and errors in those steps and incomplete information as severe delay-producing problems.","Reporters found steps, test cases, and some technical evidence difficult to provide; the authors specifically suggested integrating capture/replay tools into bug trackers."]},{"source_id":"s2","title":"Enhancing Mobile App Bug Reporting via Real-time Understanding of Reproduction Steps","publisher":"arXiv; authors from William & Mary and Georgia Tech research groups","url":"https://arxiv.org/pdf/2203.12093","source_class":"PRIMARY_RESEARCH","publication_date":"2022-03-22","accessed_at":"2026-08-03","claims_supported":["EBug links reporter-entered reproduction steps to information obtained through static and dynamic program analysis and proactively suggests missing steps.","Two studies covered 20 failures from 11 apps, with ten reporters and ten developers conducting reporting and reproduction tasks.","Against the FUSION baseline, EBug reduced reporting time by about 31% and produced reports from which developers reproduced more failures, demonstrating that assisted reporting can improve speed and reproducibility in a bounded setting."]},{"source_id":"s3","title":"Contacting Organizations about Inaccessible Websites","publisher":"W3C Web Accessibility Initiative","url":"https://www.w3.org/WAI/teach-advocate/contact-inaccessible-websites/","source_class":"OFFICIAL_GUIDANCE","publication_date":"2024","accessed_at":"2026-08-03","claims_supported":["W3C identifies accessibility-barrier reporting as a real user-to-organization workflow that can improve websites.","Useful reports include the page, intended task, observed problem, operating system, browser, settings, and relevant assistive technology.","W3C warns users not to disclose passwords or information they are uncomfortable sharing and notes that developers may need follow-up information, supporting both the reconstruction burden and privacy concern.","Website owners, accessibility contacts, support teams, and public-service organizations are identifiable recipients of such reports."]},{"source_id":"s4","title":"Capture console and network logs","publisher":"Atlassian Support for Loom","url":"https://support.atlassian.com/loom/docs/capture-console-and-network-logs/","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"undated living documentation","accessed_at":"2026-08-03","claims_supported":["Loom offers a user-started Bug Report mode that records video plus device, console, navigation, and network metadata to reduce reproduction back-and-forth.","Users can review captured developer-context tabs, control viewer visibility, share a link, and create Jira or Linear work items.","Loom filters sensitive material but still instructs the reporter to review captured content, showing both adopter demand and residual leakage risk."]},{"source_id":"s5","title":"Session Replay FAQ","publisher":"Sentry Help Center","url":"https://www.sentry.help/en/articles/13964404-session-replay-faq","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"2026-03-06","accessed_at":"2026-08-03","claims_supported":["Sentry reconstructs DOM state and user interactions to help developers resolve errors and performance issues faster.","Default privacy settings mask text and images; server-side scrubbing and self-service replay deletion are also available.","Sentry cautions that DOM replay is not pixel-perfect and deviations can occur, directly supporting the proposal's incorrect-reconstruction risk.","Sentry supports browser applications broadly but documents exclusions and operational overhead, including browser extensions and DOM-complexity-dependent capture cost."]},{"source_id":"s6","title":"Bug Reports With Session Replay","publisher":"rrweb","url":"https://rrweb.com/use-cases/bug-reporting","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"undated living documentation","accessed_at":"2026-08-03","claims_supported":["rrweb documents attaching a timestamped browser-state and interaction recording to a submitted bug report, with console, network, release, browser, and product metadata.","It supports browser-side masking, blocking sensitive elements, purpose-specific access and retention, and embedding replay in an existing issue tracker.","The open recorder, event format, and replayer can be deployed within an organization's infrastructure and access model.","This is the closest implementation-level collision: the report-submission join point and replay capsule are already documented practice."]},{"source_id":"s7","title":"Regulation (EU) 2016/679 (General Data Protection Regulation)","publisher":"EUR-Lex, European Union","url":"https://eur-lex.europa.eu/legal-content/EN/TXT/?qid=1640080938208&uri=CELEX%3A32016R0679","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2016-04-27","accessed_at":"2026-08-03","claims_supported":["GDPR requires purpose limitation, data minimization, storage limitation, integrity and confidentiality, and demonstrable accountability when applicable.","Consent is defined as freely given, specific, informed, and unambiguous; refusal or withdrawal without detriment is material to whether consent is free.","Article 25 requires data protection by design and default, including limiting collection, processing, storage duration, and accessibility to what is necessary for a specific purpose.","Article 32 requires risk-appropriate security and regular testing of technical and organizational measures, so user consent alone does not complete legal or security authorization."]},{"source_id":"s8","title":"Logging Cheat Sheet","publisher":"OWASP Cheat Sheet Series","url":"https://cheatsheetseries.owasp.org/cheatsheets/Logging_Cheat_Sheet.html","source_class":"OFFICIAL_GUIDANCE","publication_date":"undated living guidance","accessed_at":"2026-08-03","claims_supported":["OWASP recommends interaction identifiers to preserve related event context instead of forcing later reconstruction.","Passwords, access tokens, session identifiers, sensitive personal data, payment data, secrets, and non-consented information generally should be excluded, masked, sanitized, hashed, or encrypted.","Collected logs require restricted access, protection in transit and at rest, monitoring, and retention/disposal rules.","Temporary debug data and copies must not be retained beyond applicable retention requirements, and capture scope should be proportionate to risk."]}],"problem_evidence":{"support":"STRONG","rationale":"Two empirical studies establish that incomplete or erroneous reproduction information creates developer delay and that assisted reporting can improve speed and reproducibility. W3C separately requires users reporting accessibility barriers to reconstruct intended action, observed behavior, software, settings, and assistive-technology context and anticipates follow-up. Evidence is strong for the general reconstruction problem, but its prevalence and rate-limiting importance inside any proposed adopter remain unmeasured.","source_ids":["s1","s2","s3"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"W3C identifies website owners, accessibility contacts, support teams, and public-service organizations as recipients needing actionable accessibility reports. Atlassian/Loom, Sentry, and rrweb have implemented closely analogous capture/replay workflows and explicitly frame them as reducing reproduction effort. This demonstrates category-level pull and credible adopters, but no organization has expressed demand for this exact consent-preview-purge capsule or committed to the proposed pilot.","source_ids":["s3","s4","s5","s6"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"rrweb bug reports with session replay","similarity":"Documents nearly the same technical core: a report-submission join point linking a ticket to bounded browser state and ordered interactions, optional console and network evidence, masking before transport, issue-tracker integration, and access/retention controls.","remaining_difference":"The page does not establish granular per-case consent, user preview and redaction, assistive-technology metadata, verified raw-state purge/reset after every case, or a matched blinded reproduction assay.","source_ids":["s6"]},{"name":"Loom Bug Report mode","similarity":"A user deliberately starts capture; Loom combines narrative/video with device, console, navigation, and network evidence, allows review and visibility control, and sends results toward Jira or Linear.","remaining_difference":"It is a general recording workflow rather than a product-embedded, surface-selective capsule compiler with explicit accessibility context, per-cycle purge verification, and ordinary-intake comparison.","source_ids":["s4"]},{"name":"Sentry Session Replay","similarity":"Provides broad browser-state reconstruction, interaction evidence, default masking, server-side scrubbing, deletion, and product-team debugging integration.","remaining_difference":"Sentry generally instruments sessions rather than presenting the proposed user-invoked consent, preview, intent-confirmation, and case-specific release interface; it also warns replay may deviate from what the user saw.","source_ids":["s5"]},{"name":"EBug assisted mobile bug reporting","similarity":"Combines user-authored reproduction information with dynamically and statically derived application context, validates steps during reporting, and experimentally compares reporting speed and reproducibility.","remaining_difference":"EBug suggests reproduction steps rather than compiling a privacy-bounded replay capsule, and its studies do not test the proposal's consent, leakage, purge, accessibility-context, or downstream-capacity controls.","source_ids":["s2"]},{"name":"Structured accessibility-problem reporting","similarity":"W3C already prescribes capturing the page, intended task, observed problem, system/software, settings, assistive technology, records, and follow-up details.","remaining_difference":"The guidance relies primarily on user reconstruction and communication rather than an automated, user-previewable state compiler.","source_ids":["s3"]}],"distinctive_claim_remaining":"Holding product surface, eligibility, triage standards, staffing, and downstream authority constant, a user-invoked compiler with granular consent, preview/redaction, accessibility-context binding, pre-transport exclusion, and verified per-case purge/reset will produce more correctly reproducible breakdown reports with less combined user/support/engineering reconstruction work than ordinary intake and structured templates, without increasing prohibited-data leakage, incorrect reconstruction, withdrawal burden, inequitable exclusion, exception labor, or downstream queueing beyond preregistered limits.","confidence":"HIGH"},"implementation_evidence":{"support":"MODERATE","rationale":"Loom, Sentry, and rrweb demonstrate that browser-state capture, event timelines, console/network attachment, masking, issue-system linkage, deletion, and self-hosted replay are technically available. EBug demonstrates bounded experimental benefit from assisted reporting. GDPR and OWASP provide implementable privacy and security constraints. However, the exact consent interface, reliable capture of assistive-technology context, semantic correctness of replay, purge verification across copies/backups, exception workload, and integration with a real adopter's triage workflow have not been demonstrated together.","source_ids":["s2","s4","s5","s6","s7","s8"]},"scores":{"meaningful_impact":{"score":4,"rationale":"Correctly specified breakdowns can reduce repeated work and speed investigation, with particular relevance to accessibility barriers. Realized remediation impact is not established because prioritization and engineering capacity remain downstream.","source_ids":["s1","s2","s3"]},"stakeholder_pull":{"score":4,"rationale":"Multiple commercial and open-source providers already supply analogous replay-linked reporting, and W3C identifies organizations that need actionable accessibility reports. Pull for the exact governed variant is unconfirmed.","source_ids":["s3","s4","s5","s6"]},"incremental_advantage":{"score":2,"rationale":"The technical core substantially collides with rrweb, Loom, and Sentry. The remaining advantage is a governance-and-measurement bundle whose superiority has not been tested.","source_ids":["s4","s5","s6"]},"distinctiveness_plausibility":{"score":2,"rationale":"Granular consent, user preview/redaction, assistive-technology context, and verified per-case purge may be contrastive in combination, but the reviewed sources do not establish that these are individually novel or unavailable in other products.","source_ids":["s3","s4","s5","s6"]},"technical_implementability":{"score":4,"rationale":"Mature replay and event-capture components exist, including masking and issue-tracker integration. Semantic fidelity, extension/assistive-technology coverage, and complete purge across derived artifacts remain hard engineering problems.","source_ids":["s2","s4","s5","s6","s8"]},"adoption_authority_feasibility":{"score":3,"rationale":"A product owner can authorize a narrow lab or shadow pilot with privacy, security, and accessibility approval, but production capture may require controller-level legal review, data-processing controls, and cross-team operational ownership.","source_ids":["s3","s7","s8"]},"evidence_readiness":{"score":3,"rationale":"A matched 15-event experiment is well bounded and measurable, and prior studies provide workable outcome constructs. No target-adopter baseline data, implementation artifact, or confirmed participant pipeline is supplied.","source_ids":["s1","s2"]},"safety_net_benefit":{"score":3,"rationale":"The design preserves ordinary intake, user withdrawal, human review, quarantine, deletion, and shutdown. These are meaningful safeguards, but replay can still be inaccurate and sensitive data may escape filtering.","source_ids":["s4","s5","s7","s8"]},"scalability":{"score":4,"rationale":"Client-side reusable capture and compilation can have low marginal processing cost, and rrweb supports self-hosted integration. Human verification, storage, privacy incidents, schema drift, and downstream engineering queues can become scaling limits.","source_ids":["s4","s5","s6","s8"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"Preregister and execute the proposed 15-event lab/shadow comparison using an existing replay library or disposable prototype; include participant compensation, blinded developer reproduction, researcher analysis, accessibility review, privacy/security review, and purge verification.","confidence":"MODERATE","assumptions":["Uses existing replay infrastructure rather than building a production SDK.","Covers one product surface and a small supported configuration set.","Approximately 4-10 person-weeks of combined research, engineering, privacy, accessibility, and analysis effort.","Excludes production deployment, procurement, and long-term operations."],"source_ids":["s2","s6"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Build a production-grade minimum deployment for several listed surfaces: consent and preview UI, capsule compiler, masking and poison screening, issue-system integration, role-based access, purge verification, audit logging, schema/version controls, observability, security testing, and accessibility validation.","confidence":"LOW","assumptions":["Approximately 3-8 FTE-years of resource-equivalent work across engineering, design/research, privacy, security, accessibility, and operations.","Builds on an existing open-source or commercial replay substrate.","Does not include enterprise-wide rollout or support for every browser, extension, language, and assistive technology.","Internal platform and issue-tracker infrastructure already exist."],"source_ids":["s4","s5","s6","s7","s8"]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Launch across multiple product teams or a large customer-facing product, including reliability engineering, threat modeling, privacy impact assessment, data-governance controls, incident response, support training, triager capacity, integration migration, monitoring, and staged user communication.","confidence":"LOW","assumptions":["Approximately 8-25 FTE-years plus infrastructure, compliance, and integration work.","Supports multiple surfaces and representative browser/assistive-technology configurations.","Includes rollout controls and 24/7 production incident ownership where required.","Excludes damages, regulatory penalties, and major redesign following a privacy incident."],"source_ids":["s5","s6","s7","s8"]},"annual_recurring":{"band_2026_usd":"250K_TO_1M","scope":"Operate a bounded production service: 2-6 FTE-equivalents for stewardship, engineering, privacy/security review, accessibility coverage, on-call response, mapping/filter refresh, audit sampling, storage/compute, and downstream triage support.","confidence":"LOW","assumptions":["Moderate report volume and bounded retention.","Replay storage and processing do not dominate personnel costs.","The service reuses existing authentication, issue tracking, observability, and incident-response platforms.","Higher volume, long retention, regulated data, or proportional manual repair would move recurring cost above this band."],"source_ids":["s5","s6","s7","s8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Empirical research and W3C guidance independently support information mismatch, difficult reproduction evidence, developer delay, accessibility-context reconstruction, and follow-up burden.","source_ids":["s1","s2","s3"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Atlassian/Loom and Sentry are credible category adopters of replay-assisted debugging, while W3C identifies website owners, accessibility contacts, and support organizations as responsible recipients. This verifies an adopter class, not a commitment to this pilot.","source_ids":["s3","s4","s5","s6"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"Despite substantial prior-art collision, the remaining claim can be tested by holding eligibility and triage constant and comparing correct reproduction, combined labor, leakage, false reconstruction, withdrawal, exclusions, exception work, and queueing.","source_ids":["s2","s4","s5","s6"]},"bounded_next_evidence_step":{"status":"YES","reason":"A 15-event shadow lab with paired artifacts, blinded reproduction, preregistered measures, strict deletion, and stop rules is bounded, reversible, and capable of falsifying both the problem and intervention claims.","source_ids":["s1","s2","s5","s7","s8"]},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"The proposed non-sensitive lab boundary is plausible, but applicable legal basis, genuinely free and granular consent, handling of disability-related or third-party information, copy/backup deletion, and controller responsibilities require jurisdiction- and organization-specific approval before any live capture.","source_ids":["s5","s7","s8"]},"credible_cost_scope_and_range":{"status":"UNCERTAIN","reason":"The scopes and bottom-up labor assumptions are explicit and broad, but no adopter architecture, internal labor rates, vendor quote, replay volume, retention requirement, or downstream staffing measurement was available to verify the ranges externally.","source_ids":["s4","s5","s6"]}},"next_evidence_step":"After privacy, security, accessibility, and research approval, preregister a single-surface shadow study of at most 15 consented, non-sensitive breakdown events. Randomize or counterbalance artifact order and produce both (A) ordinary structured intake and (B) the consent-preview-redact-purge gateway capsule for each event. Have blinded developers attempt reproduction under the same time limit, tooling, triage standard, and product version. Measure time to first correct reproduction; correct, incorrect, and failed reproduction; user and staff preparation time; clarification exchanges; missing decisive context; prohibited-data leakage; user edits, refusals, and withdrawals; unsupported-context reroutes; human exception work; processing latency and queue depth; downstream triager workload; and verified deletion from transient stores and copies. Compare also with a structured-template-only arm if 15 events permit balanced allocation. Stop immediately for any credential/payment/third-party-content capture, unauthorized access, non-functional withdrawal, unverifiable purge, or plausible harmful false reconstruction. Falsify the problem claim if ordinary artifacts are already sufficient and delay lies mainly after correct reproduction. Falsify the intervention if the gateway does not improve correct reproduction or combined reconstruction labor, if its apparent benefit disappears after holding eligibility constant, if manual repair scales approximately per capsule, or if any preregistered privacy, exclusion, accuracy, burden, or queueing limit is exceeded.","blocking_evidence":["No target organization has supplied baseline prevalence, clarification counts, reproduction rates, or evidence that reconstruction rather than remediation capacity is its rate-limiting barrier.","No target adopter or accountable product owner has committed to the 15-event probe.","No integrated prototype has demonstrated granular consent, user preview/redaction, assistive-technology context capture, semantic replay fidelity, and verified purge together.","No jurisdiction-specific legal review or data-protection impact assessment establishes lawful processing, controller/processor roles, retention, treatment of disability-related information, or deletion obligations.","No field evidence shows that uncommon devices, extensions, languages, or assistive technologies can be supported without systematically excluding the users of greatest interest.","No measured implementation effort, vendor quote, internal architecture, storage volume, exception rate, or downstream staffing model validates the cost bands.","World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"This evaluation found substantial collision with replay-linked bug reporting, automated context capture, privacy masking, deletion, and assisted reproduction-step research. It did not search patents exhaustively, proprietary product capabilities, unpublished deployments, every replay vendor, or non-English sources. Therefore world novelty, patentability, freedom to operate, market size, and realized impact are expressly unmeasured. The only surviving claim is the bounded incremental performance and safety of the complete consent-preview-accessibility-context-purge-and-assay configuration against held-constant comparators.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":false,"progress_targets":["Secure a named product-owner partner plus privacy, security, accessibility, and research authorizers for the bounded shadow study.","Measure the target workflow's baseline prevalence, clarification burden, correct-reproduction rate, abandonment, and downstream delay before building production infrastructure.","Implement only the disposable single-surface prototype needed to test granular consent, preview/redaction, prohibited-data screening, capsule fidelity, and verifiable purge.","Complete the preregistered 15-event comparison against ordinary intake and, where feasible, a structured-template-only comparator.","Demonstrate zero stop-rule privacy events, functional refusal/withdrawal, verifiable deletion, and no systematic exclusion of sampled assistive-technology configurations.","Obtain measured engineering, exception-work, storage, triage, and governance inputs sufficient to replace the low-confidence deployment cost ranges."],"reason":"Bounded web research answers the existence, adopter-class, prior-art, component-feasibility, and regulatory-constraint questions. It cannot establish the remaining incremental claim because that claim depends on user behavior, replay fidelity, leakage, purge behavior, exception labor, and blinded developer reproduction under a real workflow. Substantial prior-art collision also means implementation should not proceed as a presumed novel product concept. The next valid evidence is partnered field/lab testing, so the controller stops for empirical research rather than requesting more bounded web search."},"proposal_index":1}