Day 39

Day 39 - June 9, 2026: From UseThai Friction to Governed Product Priorities

Closing the current UseThai friction-testing loop, triaging a second fixture-backed evidence batch, cleaning project state, and narrowing the next app-tier decision.

Day 39 closed the current UseThai friction-testing loop and turned the remaining observations into governed product priorities.

The day began with another manual pass through the local development application. The testing moved beyond whether a fixture-backed lookup succeeded or failed and focused more directly on what the experience asks of a learner: understanding romanization, interpreting narrow definitions, recognizing the active lookup direction, recovering from errors, and knowing what the application will do with an input before submitting it.

Those observations became a second formal evidence batch. A warrant review then separated app-tier presentation opportunities from data-content gaps and core-search capability questions.

The most important result was not an implementation authorization.

It was a clearer decision surface.

The shape of the day was:

Test the local app -> record a second friction batch
-> review every observation under the evidence rules
-> separate app, data, and core concerns
-> merge the governed artifacts -> clean project state
-> choose the next authorization decision

No core search capability was authorized. The evidence remained FIXTURE-based, and that boundary continued to determine what the project could responsibly conclude.

Expanding The Manual Friction Pass

The new testing pass used the current local UseThai development app from the perspective of a learner working with the fixture-backed lookup surface.

Earlier friction work had already established that the app could reveal useful product questions. Day 39 expanded the observation range beyond the immediate happy path and basic lookup misses.

The pass examined friction involving:

These observations matter because a dictionary experience is more than the final lookup result.

A learner needs to understand which kind of input the app currently expects, why a query did not work, whether a result contains enough context to use safely, and whether normal browser actions preserve or discard their recent work.

At the same time, observing friction does not identify the responsible system layer automatically.

An ambiguous romanization may be a source-data problem. A missing example sentence may simply reflect content the fixture does not contain. A direction-mismatch message is an application presentation question. Romanized-form lookup and autocomplete would represent broader search capabilities.

The testing pass created evidence for review, not permission to collapse those different concerns into one feature plan.

Recording The Second Evidence Batch

The observations were added to the friction log as entries F-0014 through F-0027.

Each entry was deliberately recorded as FIXTURE evidence.

That label was not a minor metadata choice. The application was exercised through real manual usage, but it was still operating against local fixture data rather than an imported, representative dictionary dataset.

The distinction can be summarized as:

The interaction evidence is real.
The underlying dictionary-data basis is still a fixture.

That means the evidence can support discussion about the current application surface. It can show that a placeholder is unclear, an error is too technical, or normal browser behavior feels surprising.

It cannot yet prove that core lookup needs a new search capability.

For example, a fixture-backed miss for a romanized query does not establish how often real learners will expect romanized lookup across a realistic dictionary. The absence of as-you-type guidance may be visible in the current app, but fixture evidence alone does not justify deciding which suggestion or search behavior belongs in core.

The governance rules preserved that boundary before the new observations could become implementation momentum.

Reviewing Every Observation Individually

After the friction entries were logged, Sonnet was used to generate a second warrant-review artifact:

docs/usethai/warrant-review-2026-06-09.md

The review triaged all 14 entries individually.

That individual treatment matters. A batch of friction observations can look like a general argument that the dictionary needs “better search” or “more context.” Reviewing each item separately makes it possible to ask more useful questions:

Is this an application presentation problem?
Is this missing or insufficient data content?
Is this shaped like a core capability question?
What kind of evidence supports it?
What, if anything, can be authorized now?

The review mapped the entries to existing or new clusters and kept product-facing application friction separate from data-content gaps and core-search questions.

That separation prevented a familiar product-development failure mode: responding to a broad feeling of friction with a broad implementation.

Issuing No Core-Capability Warrant

The warrant review issued no core-capability warrant.

All entries were FIXTURE-based. Under the project’s evidence rules, that means they cannot authorize changes to durable core-search behavior.

Several observations were search-capability-shaped:

Both are attractive learner-facing ideas. Romanized lookup could help users who know how a word sounds but cannot write Thai script. As-you-type guidance could help users understand available entries or expected query forms before submission.

Their appeal does not remove the evidence requirement.

Both remain held pending clustered REAL evidence. The project needs a representative dictionary dataset and stronger observations before deciding whether these behaviors belong in core, how they should work, or what contracts they would require.

The review therefore preserved the existing posture:

No fixture-only observation becomes a core-capability warrant.

That is not a rejection of future search improvement. It is a refusal to design durable search behavior around a tiny local data basis.

Discounting Data-Content Gaps For Now

The review also discounted several content-shaped issues for the current decision.

These included:

Each may become important to the learner experience. None can be resolved honestly through application presentation when the underlying data is absent or incomplete.

The app cannot display a missing sense that its fixture does not contain. It cannot invent reliable related words or usage examples. It should not imply a romanization scheme provenance that has not been established in the data.

This clarified another boundary:

Product friction can reveal a data-content need without authorizing the app
to manufacture the missing content.

The observations remain useful. They identify questions that real-data evaluation and future ingestion work will need to revisit. They simply do not belong in the immediate application implementation queue.

Identifying App-Tier Candidates Without Authorizing Them

The second review identified six app-tier presentation candidates:

These candidates differ from the held core-search questions because they can be reasoned about at the application boundary.

They concern what the current app communicates, how it responds to browser navigation, and how it presents existing system behavior. They do not require a new lexical-search contract merely to be discussed.

Even so, the review did not authorize them.

Candidate identification and implementation authorization are separate decisions. Preserving that separation keeps the project from turning a review artifact into an implicit backlog commitment.

The six candidates also vary significantly in complexity.

Direction-aware placeholder text and lightweight direction-mismatch helper copy are narrow presentation changes. They could make the expected input clearer without changing lookup behavior.

User-facing network and excessive-input messages require careful mapping from system failures to learner-friendly copy. Browser Back behavior and refresh state persistence involve a broader URL, query-state, and navigation design.

The review created a prioritized decision surface without pretending that all six items are equally ready or equally small.

Merging The Evidence And Review

Once the second evidence batch and warrant review were complete, they moved through the appropriate documentation pull-request flow and merged to main.

That made the friction observations and their governance interpretation part of the shared project record.

The merge mattered because evidence that exists only in a testing session or chat is difficult to review and easy to reinterpret later. The governed artifacts now preserve:

The project can now make its next decision from a durable record rather than from memory.

Making Session State Current

After the review merged, the project-state documentation needed to catch up.

SESSION_STATE.md was updated to reflect that:

The friction log’s warrant-review section was also updated so it referenced both the first and second triage artifacts.

This cleanup narrowed the handoff.

The next session no longer needs to ask whether more friction testing is required before the current batch can be understood. It no longer needs to generate another review for evidence that has already been reviewed.

The current decision is now explicit:

Authorize one small app-tier candidate, or hold.

Keeping session state current is part of the engineering work in an agent-assisted project. A stale handoff can cause a future session to repeat completed work, treat a candidate as authorized, or reopen a core question that the evidence rules already held.

Repairing The Investigation Log Structure

A later documentation-structure issue surfaced during the cleanup.

The session-state checklist referenced an Investigation Log, but SESSION_STATE.md did not actually contain a matching section.

Investigation-style entries were instead sitting inside the volatile Per-PR Update Block, including:

Those entries were useful durable context, but their location made the document’s structure disagree with its own checklist.

The inconsistency was corrected before it could become a larger documentation problem.

A proper Investigation Log section was added. The existing investigation bullets were relocated without changing their meaning. The Per-PR preamble was updated, and a malformed Application-tier evidence bullet was fixed.

This was a tidy-desk documentation correction.

It did not change source behavior, authorize an application slice, modify core, or alter the conclusions of the friction reviews. It made the project record easier to use and less likely to mislead the next session.

Narrowing The Next Product Decision

By the end of Day 39, the next development decision had become substantially smaller.

It is no longer:

Keep testing friction.
Write another warrant review.
Start improving search.

It is:

Which app-tier candidate, if any, should be authorized first?

The most realistic next slice appears to be direction-input guidance:

This candidate is narrow enough to improve the current learner experience without changing core lookup contracts or pretending that fixture evidence supports a new search capability.

It also follows naturally from the current app behavior. The selected lookup direction already affects the page heading and document title. Making the input guidance reflect that same direction could reduce uncertainty at the point where a learner decides what to type.

That direction remains a candidate, not an authorization.

More complex app-tier work can follow as later slices if separately reviewed and authorized:

Core-search ideas such as romanized lookup and autocomplete remain held until REAL data exists and produces stronger clustered evidence.

Why The Day Mattered

Day 39 moved the project from raw UX exploration into governed product prioritization.

The friction-testing loop is now complete enough to support a focused next decision. Observations were recorded, evidence bases were labeled, every entry was reviewed, app candidates were separated from data and core concerns, and the results were merged into the durable project record.

The restraint was as important as the findings.

The current fixture can reveal real application friction, but it cannot answer every dictionary-product question. Treating fixture-backed observations as production evidence would create false confidence. Treating every learner friction point as a core-search request would create premature architecture.

Instead, the project used governance to ask what the evidence can support now.

The answer is not a new search system.

The answer is a short list of application presentation candidates, a clearer handoff, and a likely first slice around direction-aware input guidance.

Outcome

Day 39 closed the current UseThai friction exploration loop and converted it into a governed prioritization checkpoint.

A second manual testing pass expanded the evidence beyond simple lookup success and failure. Entries F-0014 through F-0027 captured learner-facing friction involving romanization, content depth, direction mismatch, errors, browser navigation, refresh behavior, long input, and the absence of as-you-type guidance.

The evidence remained explicitly FIXTURE-based. The second warrant review triaged all 14 entries, issued no core-capability warrant, discounted data-content gaps that the app cannot resolve, held romanized lookup and as-you-type guidance pending REAL evidence, and identified six app-tier presentation candidates without authorizing them.

The evidence and review merged through the documentation flow. Session state was updated to reflect the completed triage and the next operator decision. The missing Investigation Log structure was repaired so durable investigation context no longer lived inside the volatile Per-PR block.

The next likely implementation decision is a small direction-input guidance slice. Larger navigation, persistence, and error-message improvements remain later app-tier candidates. Core-search expansion remains held.

No core work, search capability, real-data ingestion, or application implementation was authorized or completed.

Definition Of Done

Day 39 reached a friction-triage and product-prioritization checkpoint:

The day closed with the evidence loop complete, the project record current, and the next implementation decision narrow enough to make deliberately.