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DigitalGov (digitalgov.gov)

A decade of practical guidance from the GSA on how the federal government should build and run public digital services: plain language, accessibility, metrics, procurement, what had been tried and what had failed. It is the working memory of federal web practice, written by the people doing it. The host no longer resolves in DNS. 60 pages are held here, recovered from the Internet Archive.

Period
2015
Region
United States
Language
English
Rights
Public domain. A work of the United States Government is not subject to copyright under 17 U.S.C. § 105, so it is held in full with no exception claimed and none needed. Published by U.S. General Services Administration at digitalgov.gov, where the host no longer resolves in DNS as last checked on 2026-09-22.
Source
https://digitalgov.gov/

Full text

DIGITALGOV (DIGITALGOV.GOV) U.S. General Services Administration

Captured from the Internet Archive on 2026-09-22. digitalgov.gov no longer resolves in DNS. This file holds 60 pages, the most substantial the Archive has for that host. It is a capture of a site, not a complete mirror of it: pages the Archive never visited are not here, and neither are images, downloads or anything the site generated for a logged-in visitor. Each page is headed with its title, its address and its capture date.

Digital Metrics for Federal Agencies www.digitalgov.gov/2013/07/15/digital-metrics-for-federal-agencies/ — captured 2015-07-07

DIGITAL METRICS FOR FEDERAL AGENCIES

- Marina Fox

- July 15, 2013

- Metrics , Our Work

Digital metrics are critical for measuring, analyzing, and reporting on the effectiveness of your Web, mobile, social media, and other digital channels. Every agency should have a metrics strategy to measure performance, customer satisfaction, and engagement, and use the data to make continuous improvements to serve its customers.

- Part 1: Common Metrics: Guidance, Best Practices, and Tools

- Part 2: Reporting Requirements and Common Tools

- Part 3: Rationale and Framework for Common Metrics and Measures

- Part 4: Case Studies, Training, and Additional Resources

PART 1: COMMON METRICS—GUIDANCE, BEST PRACTICES, AND TOOLS

Agencies should ensure that they collect, analyze, and report on a minimum baseline set of performance and customer satisfaction measures. It’s important to collect a variety of metrics—not just visits or page views—to get a holistic picture of how well you’re delivering your digital services and information. While a goal of the Digital Strategy is to have a common set of performance measures and consistent means of collecting data, agencies may have varied approaches to using and interpreting the data based on individual agency and website goals.

Adopting a common set of baseline measures and tools across all federal executive branch agencies has many benefits, including providing an unprecedented, government-wide view of how well agencies serve their customers.

Guidance on common metrics is divided into the following sections, which describe what you should measure, what to do with the data, and common tools to help you collect and analyze your metrics:

- Web performance

- Customer satisfaction

- Usability

- Social media

WEB PERFORMANCE METRICS

Web performance metrics tell you how well your website and other digital services are performing, and are generally derived from tools that measure usage, traffic, site quality, and performance.

WHAT TO COLLECT

Milestone 8.1 of the Digital Government Strategy calls for GSA’s Center for Digital Services Innovation Center to develop guidance on common performance metrics. The following guidance was derived from extensive research of common practices in industry and government and recommendations from the Federal Web Metrics Community of Practice.

Below are ten minimum common baseline performance metrics that agencies should collect for their .gov websites. They will help you measure different elements of performance, such as how many people are visiting your websites, how much time they’re spending on your site, how often they return, etc.

Minimum Common Baseline Performance Metrics

Definitions above are derived from the Web Analytics Association’s Definitions of Common Metrics Terms (PDF, 111 KB, 34 pages, January 2008)

HOW TO COLLECT AND ANALYZE THE DATA

Below are a set of recommendations to help you collect and analyze the common Web performance metrics.

1. Analyze data across various Web Dimensions. While having the core common Web metrics is the foundation for measuring digital services’ performance, the true insights come from being able to slice and dice the data across various Web dimensions. Agencies should use dimensions, such as time, content, marketing, and demographics with the common baseline Web metrics to gather crucial specifics that will give a comprehensive and holistic picture of how your website is performing and where you need to make improvements.

This is the break-down of recommended dimensions and the types of insights each of them would add to your Web metrics reports:

- Time (Day/24 hours, week, month, year)

- Content (Pages, downloaded files, offsite links, on-site search queries, RSS feeds)

- Marketing (Referring domains/sites/pages, referring search keywords/phrases)

- Technology (Browser – Web/mobile, browser – version, platform, mobile devices, screen size)

- Demographics (Network/ISP/organization, country, state/local, city). A major caveat for the Web analytics Demographics dimension is that most Web analytics solutions are limited to the demographic information derived from an IP address of visitors computer and the network they use. Hence, the traditional, commonly associated with demographics visitor information, such as age, gender, Internet preferences etc., are not typically available via those solutions. To address the need for having the more specific customer-centric demographics, the recommended option is to use panel-based or ISP-based third-party solutions that provide website-specific and comparative analysis of websites across Federal Government Internet category (e.g., usa.gov vs. whitehouse.gov) as well as cross Internet category (e.g., irs.gov vs. yahoo.com).

The use of these five Web dimensions will allow for insightful, sophisticated reporting and research to answer such common questions, as:

- How many of our site visits came from the U.S. vs. internationally? Via a mobile device using a search engine?

- How many visits and page views came from .gov domains vs. commercial sites in the last 12 months?

- What are the top X offsite pages that visitors go to after leaving our website?

- What are our top on-site search queries? Do they contain any content that our website lacks or is hard to find?

- Are our top X pages different for visitors accessing the site from Web browsers (e.g., Internet Explorer, Firefox) vs. mobile browsers?

- Where/what U.S. location (state/city) are the most/least frequent visitors coming from?

- When (what days or months) does our website have highs and lows in traffic (e.g., visits)? Are those traffic changes driven by content releases or seasonality (e.g., summer, tax preparation time, etc.)?

- What are the most popular search terms from our top referring search engines? Are those terms/phrases closely tied to the name of the website or do visitors find our website by searching the types of services or information that the website provides?

2. Use a variety of data to tell a complete story. The intent of measuring isn’t to collect a bunch of isolated, raw data. The purpose is to collect a diverse set of data that is analyzed holistically and where someone makes connections to tell a complete story about how people are using and engaging with your website or other digital channel.

3. Focus on making continuous improvements. The ultimate goal is to drive a continual improvement of the online experience for your customers. Experts call these “actionable metrics,” as described in this Web Analytics presentation and web analytics blog . Use the metrics you gather to make targeted, data-driven improvements to your site, and track changes you’ve made to measure levels of success. In essence, you’re listening to your customers, and you’re making improvements based on what you hear.

4. Use the data to prioritize resource needs and improvements. In addition to measuring performance and satisfaction, metrics such as total page views will help you identify which content is most heavily used by your customers. This can be used to identify your customers’ top tasks so you can prioritize making improvements to that content first. In many cases, websites follow a “ long tail ” pattern, where a few of the most popular webpages garner the most website traffic. If this is the case with your website, you can make improvements to that content first, which may give you the biggest return on investment and impact on overall customer experience.

5. Be careful not to misinterpret the data. Always be prepared to do a deeper dive and ask critical questions so you don’t inadvertently misinterpret your data. For example, you may think that having a longer average time on site is good because it means people are spending more time on your site and are more engaged. But the flip side could actually be true—people may be spending longer because they can’t find what they need. In this case, you may want to identify your most visited pages to see what is a reasonable amount of time people should spend on those pages and see if that aligns with the actual data. You may also need to look at customer satisfaction data for that content, bounce rates, etc. This is why it’s important to look at a variety of metrics.

6. Provide context. To minimize the chance for misinterpretation of this data, you’re encouraged to “tell your digital metrics story” on your /digitalstrategy page. Provide background or supporting information to help your readers understand what this data means for your agency, beyond just numbers. For example, key measures for a Web portal may be different from an informational site, so take the opportunity to explain how.

7. Set performance targets and make sure they align with agency and business goals. Setting performance targets will give you defined goals that align with your agency mission and particular business objectives. You can identify targets based on prevailing practices from government or industry, or you can set goals to improve a particular metric over time. For example, you could set a goal to achieve a particular bounce rate, knowing that the average bounce rate for websites is 50%, according to Inc.com. Given this information, there might be cause for concern if you have a higher than average bounce rate or if your bounce rate continues to increase (unless of course, you determine that a high bounce rate is good, as may be the case with a link portal site). In this scenario, you’d want to look at other metrics to get a complete picture and identify ways to improve the content and better engage your customers.

8. Measure what matters to your customers. Keep in mind that people may use government websites specifically (when filing tax returns, to get a form), periodically (travel advisories abroad), or continuously (weather site). Depending on your site’s purpose and goals, some measures may be more important and better indicators of success. For example, when looking at average visits per visitor, the expectations of what is good or bad may vary widely by business model, as explained by Web Analytics Demystified. If you have a customer support type website, having a low average visits per visitor may be good since it could suggest that people don’t need to have multiple visits because they’re quickly satisfied with your service or they’re able to quickly resolve problems via other customer service channels (i.e., phone, in-person). But having a high visit per visitor may be good for a website whose primary purpose is a marketing campaign where you’re looking for many people to return often to your site and engage regularly.

9. Create compelling reports that turn data into action. Learn how to present your data in ways that clearly convey key messages for decision-makers and those creating your digital content.

Use the Chart Chooser tool at Juice Analytics to help you find the right chart or graph to illustrate your data.

10. Stay informed with industry research and expert reviews. The metrics landscape is vast and there’s a lot to learn. Check out reviews and blogs such as Occam’s Razor , which explains the complexities of Web analytics in a simple, easy-to-understand way. Sample relevant articles include Web Analytics Success Measurement For Government Websites ; Getting Started With Web Analytics: Step One—Glean Macro Insights ; and Beginner’s Guide to Web Data Analysis: Ten Steps To Love & Success .

Also, stay informed of advances in metrics and measurement by following organizations such as the Pew Research Center’s Internet & American Life Project, which researches the evolution of the Internet and its impact on American society; they have lots of great data on how people use the Web, social media, and mobile. Review white papers, online books, and case studies from IBM Business Analytics for Government , or Web Analytics Demystified .

CUSTOMER SATISFACTION METRICS

Milestone 8.1 of the Digital Government Strategy calls for GSA’s Center for Digital Services Innovation Center to develop guidance on common customer satisfaction metrics. The following guidance was derived from extensive research of common practices in industry and government and input from the Federal Web Metrics Community of Practice and Federal Web Managers Council .

Below are minimum common baseline customer satisfaction metrics that agencies should collect for their .gov websites. They will tell you how people perceive the information and services you provide, and are generally derived from surveys or other direct interactions with your customers. As part of an effective Customer Service Strategy, you should collect, analyze, and act upon customer feedback in coordination with performance metrics.

Note that the four baseline metrics below are considered “beta.” Working through agencies, the effectiveness of the measures and questions will be evaluated in the next six months with an eye to developing a strong set of common satisfaction metrics across government.

What to Measure

Other measures to consider:

- Ease of getting information or using your service

- Timeliness of getting the information

- Does the information meet and/or exceed expectations

- Relevancy and usefulness of the information

HOW TO COLLECT

Customer Satisfaction Survey Questions

To help you collect the common customer satisfaction metrics above, the following are recommended questions to ask via online customer satisfaction surveys. These questions are based on extensive research from Forrester, Gartner, other industry practices, and a review of what agencies are already doing to measure customer satisfaction.

- How would you rate your overall experience today? [Scale of 1-5 or 1-10]

- Were you able to complete the purpose of your visit? [Yes/No—if not, why not?]

- Would you still return to this website if you could get this information or service from another source? [Yes/No]

- Will you recommend this website to a friend or colleague? [Yes/No]

Additionally, these are questions that some agencies have used to gather related insights on customer satisfaction:

- Was the information easy to understand?

- Was the information useful?

- Was the experience enjoyable?

- Was it easy for you to find what you were looking for?

- Is this service being delivered in a reasonable amount of time? [Yes/No]

- Did you get useful information beyond what you were looking for?

- Did the interaction with this organization meet your needs?

Survey Methodology

To assess the validity of the data and provide context, agencies should also consider collecting data on the survey methodology and response rates:

- Number of surveys delivered

- Number of completed surveys

- Completion rate (percentage)

- Survey delivery methodology (e.g., completed at the end of the visit, served up after third click)

STRATEGIES FOR ANALYZING CUSTOMER SATISFACTION DATA

The Customer Experience model recommends three steps for Collecting Customer Feedback:

- Define your goals. Establish benchmarks to help your agency set customer performance goals and service standards, typically by either comparison with internal benchmarks, or with other agencies, organizations, or functions.

- Determine how you’ll collect customer feedback. Although many agencies will use an online survey to collect customer satisfaction metrics, as described above, there are many ways to collect customer satisfaction data. Also, while many agencies will collect metrics at the aggregate website-level, some agencies have taken a deeper dive to collect satisfaction data at the page-level or for a specific task or application, which can be highly valuable. Agencies that are already collecting customer satisfaction data at a more granular level, are encouraged to look for ways to aggregate data and also report it at the site-wide level so it can be compared with other federal sites.

- Take action on your findings. Baseline and benchmark—agencies can take the data and create a baseline of customer perception and benchmark from year-to-year or month-to-month to show improvements in overall experience or increased ability to complete purpose of the customers visit. Look for trends and create an action plan.

SEARCH METRICS

Search is the largest driver of traffic to government content, so it’s critical to publish content that is “findable” by search engines. Agencies should collect and analyze the following search data to help measure performance and customer satisfaction. See best practices for search engine optimization (SEO).

To collect search metrics, you’ll need to pull data from a variety of sources:

1. Register for the commercial search engines’ webmaster tools

- Bing Webmaster Tools

- Google Webmaster Central

2. Collect site search analytics. Many site search tools provide analytics as part of their package. Some tools require additional development to publish the data in a readable format for Web managers. Others provide easy-to-use Web interfaces that provide reports on top search terms, click through rates, etc.

3. Collect Web analytics. Analytics products provide data on visits, bounce rates, etc. (as noted above)

4. Register for application monitoring tools (optional). Many tools are free for limited use. Use to report on site health metrics such as outages, page load times, application responsiveness, etc. (Examples: YSlow, Pingdom, AlertSite)

5. Attend training. The DigitalGov University training, USASearch: Enhancing Your Website’s Search, explains how the free USASearch tool can improve the search function on your government website. Another DigitalGov University training, The Science of Search: Competitive Intelligence for the Government Web Manager shows how to use the “science of search” to improve your search rankings.

USABILITY (USER EXPERIENCE) METRICS

Usability—now more commonly referred to as User Experience—is how a person feels about using a product, system or service, and how easy a product is to use. While Digital Metrics typically looks at the general behavior of groups, User Experience is important because it focuses on how individuals think and act in relation to a product or service.

Website User Experience focuses on how visitors think information should be organized on a website, what they expect to see when they click on a link, or their ability to find something. It’s important because online services (whether a tax form, an app for finding a bus route, or a phone number for complaints) should be easy to find and use.

USABILITY TESTING

Usability testing provides an opportunity to watch real people using your product. It can give you important metrics such as how long it takes someone to complete a task, or how many clicks it takes to find something. It also gives you general feedback about design and functionality, offering invaluable insights into what you need to improve. If people can’t use your site, all the work you put into writing, coding and designing your site will be wasted, and you will fail in your mission. Usability testing routinely achieves a high return on investment by saving agencies thousands to millions of dollars on development costs.

Two common approaches to usability testing are:

- Large-scale qualitative tests include 20-100 (sometimes more) users. Usually used only by large e-commerce sites and other sizable enterprises to collect performance metrics on a user’s ability to complete tasks. Metrics include success rate , length of time, and error rate for task completion.

- Small-scale qualitative tests ideally involve 3-5 users in successive rounds of tests to observe user behavior and collect feedback on ease of use, design, etc. Qualitative user experience can also be measured by surveys or post-test evaluations such as the System Usability Scale (MS Word, 54 K, 7 pages, August 2012).

Most user experience tests are small-scale qualitative , because they are cost-effective and provide good, actionable data. GSA offers small-scale testing to agencies through the DigitalGov User Experience Program , that lets agency staff observe and get trained on how to conduct simple usability tests.

In the DigitalGov University training, Usability Testing and Debriefing Best Practices, you’ll learn how to conduct a simple usability test, and conduct a debriefing session to sift through the feedback and identify fixes. Simple tests like this are a quick way to identify major problems, and give you the tools to take immediate action to improve your site.

User Experience Metrics

User Experience metrics are often diagnostic in nature and provide a practical way to identify the top problems with a particular digital service. But the testing may not give you answers on how to fix the problems. You’ll need to look at a variety of data, make iterative design improvements, and do follow-up testing to ensure that any fixes you’ve implemented have indeed improved the user experience.

There are no pre-defined standard User Experience metrics, because each website has different goals and audiences, and provides different services. Each site should develop its own system for evaluating user experience. What you collect may depend on the resources (staff, time, contractor support) available to you.

- If you have limited resources , you can observe a usability test through GSA’s DigitalGov User Experience Program , and the team may (depending on availability) be able to train you on how to conduct simple tests yourself. Once you’ve run a test, and observed the problems your users are having, you can focus on fixing the problems. After correcting problems, your Web Analytics should reflect the positive changes (e.g., more completed tasks, or lower bounce rate). You can also hire a User Experience contractor to set up a test for you, or create a usability strategy.

- If you have User Experience professionals on staff , or have the funds to hire contractors on a long-term basis, ask these experts to help you identify the best user experience metrics to collect and follow for YOUR site. You’ll also be able to do repeat, or iterative Web design and testing , to evaluate progress over time.

When to Collect User Experience Metrics

Conduct tests and collect metrics as often as you can. There are no hard and fast rules on how often you should test—it depends on budget, development cycle, content strategy, and many other factors. Ideally, you’ve considered your users throughout the entire design process , but you should do at least one usability test of your website either before, or immediately after, launch.

What differentiates usability testing from other performance metrics is that it can give you valuable baseline data before you even launch a website or other digital service. Some organizations conduct usability testing on paper or early prototypes of a website. This can give valuable insights on user expectations and performance that can be used to compare data over time and track improvements.

GSA’s DigitalGov User Experience Program recommends doing a small-scale test of your website every month, to build confidence and expertise, but this may be too much for some agencies. Keep in mind that, the more often you test, the more you will cultivate a culture supportive of usability testing. Once you have that, you can prioritize and test as often as needed.

Reporting Usability Metrics

User experience (usability) testing is extremely valuable but also time-intensive, so make sure you document your findings and metrics. Remember that most people don’t read reports, especially long ones, so catalogue the essential information and summarize the rest. Start off with a summary of the results, next document how you ran the tests and then highlight the data. Here’s a sample usability report from DigitalGov User Experience Program and one from Usability.gov (MS Word, 215 K, 6 pages, August 2012).

MOBILE METRICS

A centerpiece of the Digital Government Strategy, is a “mobile first” approach, where new Web products and applications are designed for mobile devices first, instead of the traditional desktop design.

Measuring mobile performance, which is a new channel for most agencies, is generally concerned with mobile websites, mobile apps, SMS, or even QR codes. The good news is that measuring for these channels is not markedly different from measuring performance for other digital services listed in the other sections of the Metrics toolkit.

The Mobile Gov Community of Practice is working to define practices in mobile measurement and they have created some mobile measurement and analytics practices on the Mobile Gov Wiki. Below we have listed some general approaches taken by agencies when measuring mobile product performance.

Mobile Web —If you have a mobile website, as covered in the “dimensions” section, your agency should collect data regarding the percentage of traffic coming in from mobile devices. The National Library of Medicine (NLM) has shared an ongoing study of how they’re measuring effectiveness and quality for their MedlinePlus mobile website . They measure their performance by asking three questions:

- Who is using MedlinePlus Mobile?

- How are they using MedlinePlus Mobile?

- Are they satisfied with their visit to MedlinePlus Mobile?

SMS —When the Center’s for Disease Control analyzed their SMS health alert pilot program , they asked users these questions regarding the program’s effectiveness, user expectations, and loyalty:

- How would you rate your overall satisfaction with CDC’s text messaging pilot?

- How likely are you to use any of the information in the text messages to improve your health?

- How likely are you to recommend CDC’s text messaging pilot to a friend?

- In your opinion, how effective are CDC’s text messages in meeting your needs?

- How often would you like to receive messages?

Native Mobile Apps —The newest of the digital services applications, agencies are still grasping with proper native performance measurement, but here are four metrics agencies are looking at to measure effectiveness.

- How many app downloads do we have this month?

- How many “active downloads” do we have this month? (A sign of regular users for your app)

- What are my customer reviews on the platform store? (i.e., “rate your app” rankings on the app store)

- How many users are downloading our app updates?

- If you agency app includes a Web page that is accessed once the app is open, what are the number of page views?

SOCIAL MEDIA METRICS

Social media is transforming how government engages with citizens and how it delivers service. Agencies are using social media to share information and deliver service more quickly and effectively than ever before. Increasingly, these tools are also being used for predictive and sentiment analysis—using the vast amount of real-time data from these social platforms to predict emerging trends and respond to them quickly (referred to as “social data”).

Analysis of this social data is critical not just for agency communication offices—but also for program managers at every level of your organization. Social media in government increasingly requires accurate, targeted performance analysis to ensure we’re taking full advantage of these tools to deliver better service and engage with our customers.

Here are a set of recommended, baseline social media metrics , developed and maintained by an interagency working group of the Federal Social Media Community of Practice . The purpose is to establish a common, yet customizable approach to analyzing social data using the most cost-effective methods available. It provides a framework for agencies to measure the value and impact of social media in addressing agency mission and program goals. The aim is to move beyond obscure results of social media activities towards more sophisticated and more accurate assessments, leading to better informed decision-making.

The most efficient and consistent way for agencies to collect the common performance metrics is to add a common analytics page tag to their websites. Page tagging is now the industry standard for collecting real-time, detailed page-level performance data; it’s generally low-cost and relatively easy to implement.

GSA’s Center for Digital Services Innovation has developed this Metrics toolkit that provides the following resources for agencies, as part of the Digital Analytics Program . Read OMB’s guidance to agencies (accessible to federal employees on the OMB MAX wiki):

- OMB guidance to agencies for Implementing Performance and Customer Satisfaction Tools

- Overall guidance on the Digital Strategy

Below is background and steps agencies can take now to prepare for this implementation.

BENEFITS OF COMMON PAGE TAGGING

- A common tag will collect the required metrics easily and at minimum cost to agencies, and provide a government-wide view of digital services.

- It will allow for data aggregation at the federal level, and provide agencies with robust analytics.

- The tag can supplement existing metrics applications, and offers a stand-alone solution for agencies who don’t currently have a metrics application in place.

HOW TO IMPLEMENT

1. Determine feasibility and resources. Start now to identify who will take the lead for your agency and the scope of the effort to implement a javascript-based tag on your .gov websites.

2. Update website policies to alert your visitors. Work with your agency Privacy Officer to give him or her a heads up that you’ll be collecting this performance data (if the data is different from what you’re already collecting). Although the baseline common metrics don’t include any personally identifiable information (PII), it’s still a good idea to alert relevant colleagues that you’ll be collecting the data and also to be prepared to update any site policies to alert your customers. OMB Memo 10-22 (June 25, 2010) explains the procedures for agencies when using tag-based analytics and will provide guidance to support the implementation. See the FCC Privacy Policy , which explains how they collect a variety of performance data.

3. Prioritize where you’ll implement the code. Determine if you can implement on all .gov websites and all webpages. If not, consider a phased approach where you implement first on high priority sites, customer top tasks, and most visited pages and be prepared to explain how you will fully implement over time.

4. Identify a method for adding code. If you have a content management system (CMS), it may be fairly straightforward to add the code to all your pages. Your CMS might have options for the automated handling of common code across all pages.

If not, you’ll need a method for adding the code in the most efficient way. Many non-CMS websites include a server-side include (SSI) to manage common elements across many pages of the domain (for example, to maintain a common header or footer). The code can be integrated into existing common elements such as those that are already in use across the site. Alternatively, you can use bulk edit operations that can be performed across large volumes of html files to insert a common snippet into a consistent location within the source code.

5. Attend training and hear what other agencies are doing. GSA will provide training in early September 2012 to help agencies learn about page tagging techniques, preparing for implementation, and how other agencies have implemented similar efforts. Check the DigitalGov University class schedule and subscribe to email alerts to receive notices about the upcoming training.

6. Embed the Javascript-based tag. Embed the tag once the common code is provided by GSA and customize as needed.

7. Do quality assurance testing. Audit your implementation to be sure your data is being collected accurately. The analytics engine will enable a ready view of the pages that are reporting traffic and allow for analysis as to which pages were missed.

REPORTING REQUIREMENTS

Read OMB’s guidance to agencies for Implementing Performance and Customer Satisfaction Tools (accessible to federal employees on the OMB MAX wiki).

COMMON SURVEY TOOLS

At this time GSA is not providing a central tool for measuring customer satisfaction. There are a variety of tools available to collect this data. However, any tool you choose should provide a way to report on the four common baseline customer satisfaction measures described above.

You can use one of the free customer satisfaction survey tools that has a federal-friendly terms of service agreement or an existing contract agreement with federal agencies. These tools include:

- iPerceptions —An online survey tool to measure customer satisfaction and provide Voice of the Customer data to help you improve your agency’s online customer experience.

- WebValidator —A website survey tool that answers critical questions, such as who is visiting and why, so you can measure your customers’ experiences.

- American Customer Satisfaction Index (ACSI)-ForeSee —customer satisfaction survey tool used by multiple federal agencies and organizations in the private sector. One advantage of using the ACSI is that you can compare your results to other government agencies and top commercial websites. Agencies using this tool include CDC and SSA.

- Survey Analytics —survey software that includes a full suite of tools for creating surveys, sending email invitations, and analyzing survey data.

- SurveyMonkey —online survey tool used to create and deliver surveys and analyze data.

PAPERWORK REDUCTION ACT CLEARANCE

If you’re collecting feedback from more than nine people (via an online survey, focus group, form, or another method), you must get prior OMB approval, per the Paperwork Reduction Act (PRA). The Fast Track PRA process can significantly speed up the approval process. Some tools, such as ACSI, have current PRA clearance, and your agency may have existing approval for other tools.

PART 3: RATIONALE AND FRAMEWORK FOR COMMON METRICS

Over the years, agencies have adopted many different tools, methodologies, and success metrics to measure website performance, resulting in a lack of consistent data around .gov website performance. At the end of 2011, only 10% of the major federal agencies used the same performance metrics to consistently evaluate websites agency-wide, as outlined in the State of the Federal Web Report (PDF, 1.68 MB, 70 pages, January 2012).

To improve information and services to the public, agencies must establish standard ways to measure the success of .gov websites.

Common digital metrics and enterprise-wide performance measures offer:

- Cost savings —Central procurement of common tools will save agencies significant time and money, and ensure they have robust analytics tools to effectively measure performance.

- Adoption of industry standards —Common methodology, terminology, and tools will improve the accuracy of data across the federal Web space, making it easier to spot gaps and inaccuracies and fix them on a global scale. Adopting industry standards models the best practices of most successful large organizations.

- Better management and accountability —Publishing real-time, open and transparent data on .gov websites will lead to greater accountability and improved management of public websites, encourage agencies to consistently evaluate the success and usability of their websites, and more easily address gaps or duplications in services across the federal government.

- Improved collaboration —Agencies can more easily share best practices, training, strategies, and solutions when using similar tools and measures.

- High-level comparative analysis —Aggregating data across all federal executive branch websites will deliver precise information on the reach, growth, and impact of digital government services.

In addition, having common metrics provides these direct benefits to agencies:

- Website managers are in a better position to optimize their sites by studying content usage and onsite search behavior. Managers are able to use this data to report on the demand for services and products.

- Marketing and communication teams will be able to track and optimize their online campaigns and understand the online behaviors of our visitors.

- Executives can use this information to report on channel performance and strategically plan for the future. It will help tie metrics to agency mission achievement.

Measurement Framework

GSA’s Digital Services Innovation Center developed the Digital Services Performance Measurement Framework to identify a common approach to collect standard data, and enable aggregation of this data at the federal level.

To ensure that services are measured accurately and consistently at the federal level, as well as individually, this framework will address common government–wide:

- Collection methodology and tools

- Reporting interface and analysis

Key success elements will include:

- Performance measures

- Collection methodology

- Web analytics tool

The framework is based on the following types of measures:

- Breadth —standard Web analytics that provide high–level information on the breadth of traffic to, and content usage of, a given digital service

- Depth —high–level, standard Web analytics that measure the extent (time) and depth of a visit

- Loyalty —standard Web measures of visitor loyalty and site stickiness

- Direct Engagement —measures the extent to which a site visitor uses the site’s search engine (visitor must provide direct input to retrieve the desired information or action)

- Customer Experience —standard customer service measures of quality, experience, and loyalty

To support this common framework, agencies should collect performance and customer service metrics using the following types of tools:

- Performance —It is now an industry standard to use page tagging to collect real-time performance metrics, so this framework calls for the use of a common tool to collect agency performance metrics.

- Customer Satisfaction —Until an industry standard becomes apparent for collecting customer satisfaction metrics, we’re asking agencies to collect a set of four common reporting metrics, based on extensive industry research and and a review of existing agency systems. These are considered in “beta” mode while we test their usefulness during implementation.

PART 4: CASE STUDIES, RESOURCES, AND TRAINING

CASE STUDIES

- CDC eHealth Metrics Dashboard —model metrics dashboard, summarizes page views, popular topics, and satisfaction scores, including Top Search Keywords, most popular pages, and mobile.

- EPA Site Statistics —guidance for EPA Web team members on how to gather and report metrics data.

- National Archives Metrics Dashboard —features selected comments from customer surveys, customer satisfaction scores, most popular search terms, website visitors, and more.

- USDA Page-Tagging Metrics Strategy —enterprise-wide implementation of a common web analytics program across all USDA agency and office websites.

- City of Boston —Web metrics dashboard provides high-level view of page visits, popular pages, search terms, and more.

COMMUNITIES OF PRACTICE

- Web and New Media Community —an ad hoc group of over 3,000 federal, state, local, and tribal U.S. government employees.

- Metrics Community of Practice—part of the Federal Web Managers Council , an inter-agency group working to improve digital metrics.

- Social Media Performance Metrics working group .

TRAINING

Get more information about training from DigitalGov University , and subscribe to get email updates on new and upcoming events .

REFERENCES

POLICY AND OTHER DIRECTIVES

These are federal initiatives and directives related to performance management and customer service that provide additional context and background:

- Digital Government Strategy Milestone 8.2 : Links to the specific agency requirements for measuring performance and customer satisfaction measuring tools on all federal executive branch .gov websites

- Executive Order 13571 —Streamlining Service Delivery and Improving Customer Service directs agencies to set standards and use customer feedback to improve the customer experience (April 2011)

- OMB M–05–04 Policies for Federal Agency Public Websites and the related OMB Circular A–130 refer to measuring satisfaction and performance

- OMB M-10-22, Guidance for Online Use of Web Measurement and Customization Technologies (PDF, 102 KB, 9 pages, June 2010)

- Paperwork Reduction Act (PRA) requires federal agencies to have OMB approval before collecting information from the public, such as from online customer satisfaction surveys.

- Fast Track PRA process streamlines PRA approval to 5 business days

- Government Performance and Results Act (GPRA) requires agencies to establish performance measures to demonstrate mission achievement

RESEARCH BIBLIOGRAPHY

GSA developed the performance and customer satisfaction guidance with the federal Metrics Community of Practice and based on extensive research, which included the following resources:

- Reichheld, F.; Markey, R. The Ultimate Question 2.0: How Net Promoter Companies Thrive in a Customer-Driven World (Revised and Expanded Edition) (Harvard Business Review Press; September 20, 2011)

- Forrester , a global research and advisory firm: Bernoff, J. (June 11, 2011) Competitive Strategy In The Age of the Customer.

- Bodine, K.; and Rogowski, R. (January 14, 2011) 2011 Customer Experience Predictions.

- Burns, M. (February 17, 2011) The State of Customer Experience, 2011.

- Burns, M. (April 18, 2011) How Companies Raised Their Customer Experience Index Scores, 2011.

- Burns, M.; Manning, H., Peterson, J., and Catino, S. (December 7, 2010). The Business Impact of Customer Experience, 2010.

- Burns, M. (April 29, 2010) Three Secrets of Success for Customer Experience Organizations.

- Burns, M. (January 11, 2011) The Customer Experience Index, 2011.

- Dorsey, M. (January 28, 2010) The Future of Online Customer Experience.

- Drego, V.; Rogowski, R., and Bocal, E. (December 20, 2010) How To Craft Your Customer Research Plan.

- Evensen, R. (July 25, 2011) How To Design An Effective Voice of the Customer (VOC) Insights Program.

- Hagan, P. (April 29, 2011) Beyond CRM: Manage Customer Experiences.

- Leggett, K. (May 26, 2011) Forrester’s Best Practices Framework for Customer Service. Retrieved from www.forrester.com

- McInnes, A. (May 20, 2011) Voice of the Customer Programs Don’t Deliver Enough Value.

- Reitsma, R. (June 30, 2010) A Market Researcher’s Introduction to the Future of Online Customer Experience.

- Rogowski, R. (June 15, 2011). Why You Need A Digital Customer Experience Strategy.

- Sage, A.; Burns, M., Bocal, E., and Stone, A. (July 20, 2011) What are the Right Web Customer Experience Success Metrics.

- Gartner, Inc. , an information technology research and advisory company : Alvarez, G. (March 2012) What To Do On Monday. Presented at the Gartner 360 Conference in Orlando, FL.

- Davies, J.; Thompson, E. (March 2012) Putting Plans for Customer Experience into Practice. Presented at the Gartner 360 Conference in Orlando, FL.

- Thompson, E. (March 2012) The Customer Experience Scenario. Presented at the Gartner 360 Conference in Orlando, FL.

- Thompson, E. (November 11, 2011) The Gartner Customer Experience Management Maturity Model.

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Content Management Systems Toolkit www.digitalgov.gov/2013/10/30/content-management-systems-toolkit/ — captured 2014-08-17

CONTENT MANAGEMENT SYSTEMS TOOLKIT

- Rachel Flagg

- October 30, 2013

- API , Content

Improving the federal government’s ability to deliver digital information anytime, anywhere, on any device—via open content—is a key goal of the Digital Government Strategy . A content management system (CMS) can help your agency move to an open content model , making it easier for people to find, share, use, and re-use your information.

The key steps in getting ready to move to a CMS include:

- Prepare Your Content

- Choose a CMS

- Migrate Your Content to a CMS

DEVELOP A CONTENT STRATEGY

A content strategy defines such things as topics, themes and purpose, and can also play a part in website governance, customer experience, metadata and search engine optimization (SEO). The value of developing a content strategy is that it forces you to examine what you’re trying to accomplish with your digital content, where you need it delivered, and desired outcomes.

When developing your content strategy, ask:

- Are you publishing content that is in your agency’s lane, or have you strayed out of scope?

- Are you reaching customers via their preferred channel?

- Are you posting content once and repurposing it, or publishing the same content several times, in different ways?

- Is your most important content placing well in search results?

- Are you regularly gathering and acting on customer feedback to improve your site?

Content strategy news and articles —news feed of the latest articles on content strategy from CMSWire.

CONDUCT A CONTENT INVENTORY

Complete a content inventory to identify and document everything on your site. At a minimum, include all your Web pages. You may also want to include all linked files and attachments such as PDFs, video files, documents, pictures, etc. The best way to track your inventory is with a spreadsheet, where you can list all your content. It will help you see all your content at a glance, and illustrate how the different sections of your site fit together. It can also help you map your current content to your new CMS.

To get you started, we’ve developed a sample content inventory spreadsheet sample content inventory spreadsheet which you can use to document your content inventory. The spreadsheet has two tabs: one for active content, and one to track content that you’ve archived or unpublished. The spreadsheet is organized so that you can group related pages together, following your site’s information architecture (IA). There are fields for the page name, URL, date, review schedule, content lead, and more. Tools you may find useful to develop your content inventory include:

- Xenu’s Link Sleuth —this link check program grabs page URLs and page titles, two key pieces of information to start your inventory

- Similar Page Checker —this tool compares two URLs for duplicate content

- Content Inventory —Wikipedia page contains several resources

Once you’ve built it, you should continue to update and maintain it, tracking all changes you make to your site as you add or remove content.

CLEAN UP YOUR CONTENT

Before implementing a CMS, you should get rid of “ROT” (Redundant, Outdated, Trivial) content. Your completed content inventory can help you spot the ROT.

- Look for pages with similar content, and review to see if you can combine them and delete one of the pages.

- Examine your metrics . Do you have pages that are only getting a few visits a month? Those pages may not be worth keeping, if no one is looking at them.

- Review search terms and compare your IA to the topics and terms people search for on your site. If a topic or page has low search traffic, and low visits, review to see if it’s a candidate for removal.

DETERMINE CONTENT STRUCTURE

Structured content refers to content that is posted as “pieces of information” (vs. “pages”) and tagged with keywords and metadata so it can be aggregated, organized, shared, and reused. Structured content is not dependent on any particular device; content is divorced from presentation, meaning the information is accessible anytime, anywhere, on any device. Create open structured content by identifying such things as content types and taxonomies. Read more about creating open content and National Public Radio (NPR) ‘s Create Once, Publish Everywhere strategy .

Once you determine the data structure for your content, you can configure your CMS so it’s easy to create and tag content accordingly. As an example, as part of EPA’s migration to a new CMS, they identified their content structure and can now tag each piece of content with metadata as it’s created in the new CMS.

See how EPA uses Dublin Core metadata to structure content (PDF, 109 KB, 16 pages, November 2012).

TAG YOUR CONTENT WITH METADATA

Metadata is essentially “data about data,” and consists of machine-readable descriptions that tell other computers important facts about your digital content. It provides a standardized system to label and classify content. It also:

- Enables content aggregation, re-use, and syndication via Really Simple Syndication (RSS), Application Programming Interfaces (APIs) , and other technologies

- Provides an audit trail, with information about who created the information, and when

- Helps identify redundant, duplicative, and possibly obsolete content

When tagging content, you should generally use established industry-standard vocabularies, such as Dublin Core , which define common elements and enable aggregation of common pieces of information from several different sources. Common metadata elements include:

- Title

- Description

- Keywords

- Format

- Date

- Publisher

- Language

To enable Web crawlers and search engines to understand meaning and relationships in your content, and use that understanding to improve search results and search engine optimization (SEO), you should also employ the Schema.org vocabulary to provide additional descriptions for certain types of content, such as events. Dublin Core tags can be used to describe “things”, and Schema.org tags can describe relationships between those things. Both are important to improve search results and make your information easier to find and re-use.

If you have a Content Management System, you should to enter the tags directly into your CMS. You may need to work with your CIO staff or developer to configure your CMS to collect metadata.

If you don’t have a Content Management System, you’ll need to add these tags manually as HTML code. Refer to the links below for guidance and syntax on manually tagging your content.

- Expressing Dublin Core metadata —explains how to tag your content using Dublin Core structure and syntax

- Generic plain language metadata examples

- How to mark up your content using Schema.org vocabularies —explains how to tag your content so it’s easier to find and provides richer search results

These examples illustrate how agencies are creating structured content by tagging with metadata and microdata.

- Geospatial Metadata —ederal Geographic Data Committee

- Metadata management —U.S. Geological Survey

- Content and Data Standards —including XML markup and metadata descriptions—Library of Congress

- EPA Metadata Editor tool to create content that meets EPA and Federal Geographic Data Committee (FGDC) metadata requirements—Environmental Protection Agency

- LandView 6 Metadata technical documentation on Census data quality—U.S. Census Bureau

- OpenEI:Projects/Tools Metadata properties and values—Open Energy Information

Project Open Data is an OMB and OSTP resource; an online repository of tools, best practices, and schema to help agencies adopt the framework presented in the Open Data Policy OMB Memorandum M-13-13: Open Data Policy—Managing Information as an Asset (PDF, 6 MB, 12 pages, May 2013)

DECIDE IF YOU NEED A CMS

A CMS provides many advantages over static HTML content:

- Because a CMS typically has an interface similar to a word processing program, you don’t need to know markup language to add or edit content

- Design templates can ensure that the “look and feel” of your site remains consistent

- You can give contributors controlled access to the system, so some people can create, but not publish, while others have full control to create, publish, or delete content

- You can build forms to collect content and metadata elements in a structured, organized way

If you post a catalog of items as structured content, the same information can be adapted to render correctly on different screen sizes and devices, so people can view the same catalog on their phone, tablet, desk top, or other device, and it will display in a format best suited to each device.

Two sites that have successfully implemented responsive design are USA.gov and AIDS.gov . If you view each of these sites on your PC, you can see all the content available on the homepage, optimized for a large screen. View the same site on your mobile device, and you can see that top task content is presented prominently, in an easy-to-read format that’s been optimized for smaller screens.

IDENTIFY RESOURCE NEEDS

Whether you choose an open-source or commercial product, it will require an investment of time, money, and staff resources to move your content to a CMS. See if your agency already has a CMS solution that you could use without incurring new costs.

UP-FRONT DEVELOPMENT

- Commercial products generally require a potentially significant up-front investment to purchase the software and user licenses. Licensing costs vary depending on the tool and implementation, so be careful to clarify these costs with the vendor. Read this article on Why CMS Licensing is so Complicated .

- Open-source systems usually don’t cost anything to license or install, other than your developer’s time.

- Web teams and CIO staff should coordinate on any additional IT issues such as security scans, or whether or not you’ll need a Certification and Accreditation (C&A) review.

LONG-TERM SUPPORT

Web teams and CIO shops should discuss options for Web hosting. Your agency likely already has a hosting solution in place, so you’ll need to coordinate on how the site will be hosted. Be aware that if you have a high-traffic site, your current hosting solution may not be able to accommodate every CMS solution.

You will need developer support for ongoing general system maintenance.

Open-source systems can incur potentially significant development costs to maintain over time and take full advantage of customizable features.

Talk with other government agencies who already use a particular CMS , and who have sites comparable in size and scope to your own, to get an idea of how much developer support you might require.

DOCUMENT YOUR CMS REQUIREMENTS

Business needs should be the primary driver in your choice of a content management system for your agency. Start with your content strategy, then focus on the CMS features and functionality that support that strategy. Consider the following:

EASE OF USE

- Is the WYSIWYG easy-to-use, or will your content managers need to learn HTML? Are training resources are available, if needed?

- Is it intuitive to complete basic content management tasks (e.g., create, edit, publish, or remove a page)? How easy is it to find your content within the system? Is it easy to move content off the site or to an online archive?

- Can you easily save and roll back different versions of pages/content?

- Are admin functions, such as adding a new user, intuitive?

FUNCTIONALITY

- Can you adapt your content workflow to the new system?

- Is it flexible and easy to customize, such as turning features on/off, or customizing fields to match your content types?

- Is the tool designed to support the size and type of website you have?

- Does it support well-defined roles and permissions, so only certain people can perform tasks such as publishing or deleting content?

- Are there extra bells and whistles that you don’t need and will never use?

- Does it support content lifecycle management with features such as the ability to automatically archive pages after a certain date?

SUPPORT FOR OPEN CONTENT AND SEO

- Does it support content types and fields ?

- Is it easy to tag content with appropriate metadata?

- Does it support search engine optimization (SEO) with such features as customizable metadata, static URLs, customized breadcrumbs, and support for microdata?

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