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Design Heuristic

The main goal of heuristic evaluations is to identify any problems associated with the design of user interfaces. Usability consultant Jakob Nielsen developed this method on the basis of several years of experience in teaching and consulting about usability engineering.

Design Heuristic


The main goal of heuristic evaluations is to identify any problems associated with the design of user interfaces. Usability consultant Jakob Nielsen developed this method on the basis of several years of experience in teaching and consulting about usability engineering.


Heuristic evaluations are one of the most informal methods of usability inspection in the field of human-computer interaction. There are many sets of usability design heuristics; they are not mutually exclusive and cover many of the same aspects of user interface design.


Quite often, usability problems that are discovered are categorized—often on a numeric scale—according to their estimated impact on user performance or acceptance. Often the heuristic evaluation is conducted in the context of use cases (typical user tasks), to provide feedback to the developers on the extent to which the interface is likely to be compatible with the intended users’ needs and preferences.


The simplicity of heuristic evaluation is beneficial at the early stages of design. This usability inspection method does not require user testing which can be burdensome due to the need for users, a place to test them and a payment for their time. Heuristic evaluation requires only one expert, reducing the complexity and expended time for evaluation. Most heuristic evaluations can be accomplished in a matter of days. The time required varies with the size of the artifact, its complexity, the purpose of the review, the nature of the usability issues that arise in the review, and the competence of the reviewers. Using heuristic evaluation prior to user testing will reduce the number and severity of design errors discovered by users. Although heuristic evaluation can uncover many major usability issues in a short period of time, a criticism that is often leveled is that results are highly influenced by the knowledge of the expert reviewer(s). This “one-sided” review repeatedly has different results than software performance testing, each type of testing uncovering a different set of problems.




Jakob Nielsen's heuristics are probably the most-used usability heuristics for user interface design. Nielsen developed the heuristics based on work together with Rolf Molich in 1990.The final set of heuristics that are still used today were released by Nielsen in 1994. The heuristics as published in Nielsen's book Usability Engineering are as follow]

Visibility of system status:

The system should always keep users informed about what is going on, through appropriate feedback within reasonable time.

Match between system and the real world:


The system should speak the user's language, with words, phrases and concepts familiar to the user, rather than system-oriented terms. Follow real-world conventions, making information appear in a natural and logical order.


User control and freedom:


Users often choose system functions by mistake and will need a clearly marked "emergency exit" to leave the unwanted state without having to go through an extended dialogue. Support undo and redo.


Consistency and standards:


Users should not have to wonder whether different words, situations, or actions mean the same thing. Follow platform conventions.


Error prevention:


Even better than good error messages is a careful design which prevents a problem from occurring in the first place. Either eliminate error-prone conditions or check for them and present users with a confirmation option before they commit to the action.


Recognition rather than recall:


Minimize the user's memory load by making objects, actions, and options visible. The user should not have to remember information from one part of the dialogue to another. Instructions for use of the system should be visible or easily retrievable whenever appropriate.


Flexibility and efficiency of use:


Accelerators—unseen by the novice user—may often speed up the interaction for the expert user such that the system can cater to both inexperienced and experienced users. Allow users to tailor frequent actions.


Aesthetic and minimalist design:


Dialogues should not contain information which is irrelevant or rarely needed. Every extra unit of information in a dialogue competes with the relevant units of information and diminishes their relative visibility.


Help users recognize, diagnose, and recover from errors:


Error messages should be expressed in plain language (no codes), precisely indicate the problem, and constructively suggest a solution.


Help and documentation:


Even though it is better if the system can be used without documentation, it may be necessary to provide help and documentation. Any such information should be easy to search, focused on the user's task, list concrete steps to be carried out, and not be too large.




Although  Nielsen  is  considered  the  expert  and  field  leader  in  heuristics,  Jill  Gerhardt-Powals  also


developed a set of cognitive principles for enhancing computer performance. ]These heuristics, or principles, are similar to Nielsen’s heuristics but take a more holistic approach to evaluation. Gerhardt Powals’ principle are listed below.


·        Automate unwanted workload:

o  free cognitive resources for high-level tasks.

o   eliminate mental calculations, estimations, comparisons, and unnecessary thinking.


·        Reduce uncertainty:

o   display data in a manner that is clear and obvious.


·        Fuse data:


o   reduce cognitive load by bringing together lower level data into a higher-level summation.


·        Present new information with meaningful aids to interpretation:

o   use a familiar framework, making it easier to absorb.

o   use everyday terms, metaphors, etc.


·        Use names that are conceptually related to function:

o   Context-dependent.

o  Attempt to improve recall and recognition.

o   Group data in consistently meaningful ways to decrease search time.


·        Limit data-driven tasks:


o   Reduce the time spent assimilating raw data.

o   Make appropriate use of color and graphics.


·        Include in the displays only that information needed by the user at a given time.


·        Provide multiple coding of data when appropriate.

·        Practice judicious redundancy.

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