My List ♥ ()

User Content Analysis Fields

Field Type: User

Ultimately we want to make it easy for users to complete certain tasks. Sometimes we can directly capture this type of metric, but usually we need to confine ourselves to metrics that are more removed from the actual user experience.

See User fields below. Or show fields for all field types.

Answer some questions to help select fields

If we take the traditional view of a content inventory or audit, we have rows representing each page (so each row has a unique URL) and then we have columns for things like the meta description or crawl depth. These columns are the different fields we have available to us in our content analysis.

①. Define what you are trying to accomplish.

Your content analysis needs to be grounded on your analyze goal.

Examples: Plan Digital Transformation, Test Content Hypothesis, Provide Better Bid.

②. Define your analysis approach.

Size and complexity of your digital presence

Size and complexity of your digital presence should drive your content analysis approach.

My digital presence is:

Use the calculator

Your approach

Content analysis does not necessarily mean opening up a spreadsheet. Before diving in, you should define your basic approach to the analysis.

Examples: Brute Force; Sample, Rules, Repeat; Quick Take.

③. Select fields toward your goal, grounded in your prioritized list of questions you want answered.

Although you can use this database however you like, in general we recommend that you build up a list of fields that will be useful for your analysis. To do so, just click on the heart next to any field name. After you have hearted some fields, you can see an analysis of your list at My List ♥ (at which point you can move to ④. Start iterating on your analysis, starting with the basics).

Audience ♡

Audience the content is actually written to target (whether or not it is supposed to).

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Traditional Ease of Automation:

Nielsen H1 Visibility ♡

Does the page keep users informed about where they are and what is going on? Look for breadcrumbs, clear page titles, current-section highlighting in navigation, and timely feedback for user actions.

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Nielsen H1 Visibility Rationale ♡

LLM-written rationale for the Nielsen Heuristic 1 (H1 Visibility) score.

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Nielsen H1 Visibility Score (LLM) ♡

LLM-assigned Nielsen Heuristic 1 (H1 Visibility) score (0-3). Used as input to the calculated Nielsen H1 Visibility field.

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Nielsen H10 Help & Docs ♡

Final per-heuristic score for Nielsen Heuristic 10 (H10 Help & Docs). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H10 Help & Docs Rationale ♡

LLM-written rationale for the Nielsen Heuristic 10 (H10 Help & Docs) score.

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Nielsen H10 Help & Docs Score (LLM) ♡

LLM-assigned Nielsen Heuristic 10 (H10 Help & Docs) score (0-3). Used as input to the calculated Nielsen H10 Help & Docs field.

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Nielsen H2 Real-World Match ♡

Final per-heuristic score for Nielsen Heuristic 2 (H2 Real-World Match). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H2 Real-World Match Rationale ♡

LLM-written rationale for the Nielsen Heuristic 2 (H2 Real-World Match) score.

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Nielsen H2 Real-World Match Score (LLM) ♡

LLM-assigned Nielsen Heuristic 2 (H2 Real-World Match) score (0-3). Used as input to the calculated Nielsen H2 Real-World Match field.

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Nielsen H3 User Control ♡

Final per-heuristic score for Nielsen Heuristic 3 (H3 User Control). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H3 User Control Rationale ♡

LLM-written rationale for the Nielsen Heuristic 3 (H3 User Control) score.

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Nielsen H3 User Control Score (LLM) ♡

LLM-assigned Nielsen Heuristic 3 (H3 User Control) score (0-3). Used as input to the calculated Nielsen H3 User Control field.

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Nielsen H4 Consistency ♡

Final score for H4 Consistency, blending the LLM score 60% with the structural sub 40% via 3:2 weighting in avg(). The repetition trick bypasses Chimera's strict left-to-right evaluation without explicit decimal multiplication.

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Nielsen H4 Consistency Rationale ♡

LLM-written rationale for the Nielsen Heuristic 4 (H4 Consistency) score.

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Nielsen H4 Consistency Score (LLM) ♡

LLM-assigned Nielsen Heuristic 4 (H4 Consistency) score (0-3). Used as input to the calculated Nielsen H4 Consistency field.

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Nielsen H4 Structural Sub ♡

Intermediate helper that aggregates the three structural-signal pattern counts (images without alt, H1 count, landmark count) into a single 0-3 value, used by the H4 Consistency formula. Exists because Chimera expressions cannot multiply directly through case() returns — pre-materializing this helper as a float column sidesteps that limitation.

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Nielsen H5 Error Prevention ♡

Does the page prevent problems from happening in the first place? On pages with forms or user actions, look for clear labels, sensible defaults, required-field marking, and confirmation for destructive actions. Does not apply to purely informational pages.

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Nielsen H5 Error Prevention Rationale ♡

LLM-written rationale for the Nielsen Heuristic 5 (H5 Error Prevention) score.

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Nielsen H5 Error Prevention Score (LLM) ♡

LLM-assigned Nielsen Heuristic 5 (H5 Error Prevention) score (0-3 or n/a). Used as input to the calculated Nielsen H5 Error Prevention field.

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Nielsen H6 Recognition ♡

Final per-heuristic score for Nielsen Heuristic 6 (H6 Recognition). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H6 Recognition Rationale ♡

LLM-written rationale for the Nielsen Heuristic 6 (H6 Recognition) score.

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Nielsen H6 Recognition Score (LLM) ♡

LLM-assigned Nielsen Heuristic 6 (H6 Recognition) score (0-3). Used as input to the calculated Nielsen H6 Recognition field.

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Nielsen H7 Flexibility ♡

Final per-heuristic score for Nielsen Heuristic 7 (H7 Flexibility). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H7 Flexibility Rationale ♡

LLM-written rationale for the Nielsen Heuristic 7 (H7 Flexibility) score.

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Nielsen H7 Flexibility Score (LLM) ♡

LLM-assigned Nielsen Heuristic 7 (H7 Flexibility) score (0-3). Used as input to the calculated Nielsen H7 Flexibility field.

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Nielsen H8 Aesthetic ♡

Final per-heuristic score for Nielsen Heuristic 8 (H8 Aesthetic). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H8 Aesthetic Rationale ♡

LLM-written rationale for the Nielsen Heuristic 8 (H8 Aesthetic) score.

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Nielsen H8 Aesthetic Score (LLM) ♡

LLM-assigned Nielsen Heuristic 8 (H8 Aesthetic) score (0-3). Used as input to the calculated Nielsen H8 Aesthetic field.

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Nielsen H9 Error Recovery ♡

Final per-heuristic score for Nielsen Heuristic 9 (H9 Error Recovery). Derived from the LLM score with type coercion (and an n/a-aware path for H5/H9).

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Nielsen H9 Error Recovery Rationale ♡

LLM-written rationale for the Nielsen Heuristic 9 (H9 Error Recovery) score.

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Nielsen H9 Error Recovery Score (LLM) ♡

LLM-assigned Nielsen Heuristic 9 (H9 Error Recovery) score (0-3 or n/a). Used as input to the calculated Nielsen H9 Error Recovery field.

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Nielsen Overall Score ♡

Average of the 10 Nielsen per-heuristic scores. avg() skips real NULLs, so n/a paths on H5 and H9 (which materialize as NULL on float columns) do not drag the average down.

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Page Views ♡

Page views are often the first thing to be added from an additional source, after the basic rows of content in the inventory/audit have been determined. Although not always the most useful metric for the value of content, it's often the most immediately tangible proxy.

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Consider instead: [Success Event] Count

Reading Level ♡

Reading Level represents the education level required to understand text. Since much content is overly complex, this can be useful to identify where there may be education requirement mismatches.

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[Success Event] Count ♡

The count of events that were successful from this page, such as the count of purchases or the count of downloads.

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Legend