Next: Online Delivery
Up: Internet-Based Research & CI
Previous: Scenarios
  Contents
Subsections
Tools
Feature Analysis of an Online Product or Service
Figure 1:
excerpt from an online feature matrix
|
|
A feature analysis allows you to compare specifics of your (client's)
online product or service offering to competitors. This matrix allows
intelligent business decisions to be made with current awareness of
how competitors are (not) handling comparable options and
opportunities.
- brainstorm initial criteria with client
- identify competitor URLs
- start surfing, about 15 minutes per competitor site
- refine criteria, revisit URLs as necessary
- write executive summary and analysis, as appropriate
Visual Presentation of Competitors on the Web
Figure 2:
side-by-side thumbnails allow fast comparison of key visual interface elements.
|
|
Provide your client or design team with a visual overview of
competitor interfaces at-a-glance. Makes it easy to spot trends in
look and feel among sites in a given industry.
- consider audience technology
- identify competitor URLs
- screen captures, about 2 minutes per competitor site
- add executive summary, if appropriate
Presence Evaluation
Presence comes down to two questions for the client, brand, product, or service of interest:
- Can people find us online? This type of presence (or lack of
presence) might be called Search Presence.
- If people have found us, what are they saying about us online?
This sort of presence can be referred to as Discussion
Presence.
Figure 3:
SavvySearch position analysis tool
|
|
Provide feedback on a client's efforts at search engine
placement and results optimization against desired key
terms.
- determine key terms. top-down, from client;
bottom-up, from search logs or on-site poll. Typically query
from two scenarios: 1. user knows this URL exists and is trying
to recall by exact name, 2. user is performing a
general subject search related to this client URL.
- query key terms in an online position-analysis resource (or
perform manually if desired)
- report results with suggestions for legitimate
improvements to the online content.
- re-submit the URL to appropriate directories and indexes
Figure 4:
Usenet mentions of a client name over time
|
|
presence analysis - health/diet presence analysis - insurance
trademark abuse - zoological society
attitude discovery
Is there a consumer audience online discussing our company, product,
or service? Is this audience waxing or waning? What are they saying
about us? Which of these online audiences is the most appropriate
target market for our product?
- define research question and goal
- spot-check some sample queries in a discussion search engine
- run queries over desired time period
- analysis, maybe help from a statistics guru
- present data, usually tables or charts
Usability
Figure 5:
excerpt from a usability review for a client web site
|
|
Determine how well a (client's) interface and related online factors
adhere to web usability principles, and suggest improvements.
- establish usability criteria/template
- surf the site in question, record observations
- compare real to ideal, recommend improvements
Figure 6:
detail - use of frames - from an online usability review
|
|
Systems Analysis & Design
Figure 7:
client extranet access to online systems analysis report
|
|
Refine systems in the context of an entire department, organization,
or information watershed.
Systems analysis (and friends, e.g. contextual analysis) is a long,
formal process, unique to the client and situation being studied. It
is not the kind of service you'd perform in an afternoon--but its
definitely an option that librarians should be aware of and prepared
to recommend to clients with complex situations where information
needs and retrieval may be a small part. The broad steps:
- define user/audience, scope/focus
- determine needs
- audit existing systems
- research alternatives
- iterative design, development
- implementation (including training, documentation, conversion)
- maintain, monitor, refine
Next: Online Delivery
Up: Internet-Based Research & CI
Previous: Scenarios
  Contents
© 1999 sean dreilinger, savvysearch limited.