STC13: Alyson Riley about effective IA

In her session “Building Effective IA Teams in Resource-Challenged Times”, Alyson Riley from IBM offered her take on the recent theme that tech comm needs to “speak business” to prove its worth. (This is part of my coverage of the STC Summit 2013 in Atlanta.)

Alyson argued that “nice to have” initiatives are no longer compelling enough to get tech comm a budget or a mandate. To play a mission-critical role in a corporation, tech comm must plug into the corporate strategy. However, that strategy and its stakeholders usually isn’t waiting for us to put in our two cents. So we tech comm’ers must:

  1. Focus on corporate strategy as opposed to tactics.
  2. Play to the motivations behind the strategy, so we can come up with ways to support it with our unique skills and contributions.

The following moves can help with that second step:

  • Address the “buyer evaluates” and “buy” stages of the product. Usually, we speak to the “customer uses” stage of our product where there’s often more cost than income. The challenge is to make it compelling for buyers and sales to also use our content to their benefit in the more profitable stages. A good start is to ask sales: “What is the hardest part of your job?” and see if we can help them with the information we provide.
  • Influence social content to help leads along the marketing funnel from awareness to loyalty and advocacy. That doesn’t mean to “sell out” completely to marketing. It’s often as easy and sensible as including customer benefits in our content. Simply add the “why” to the “how” and give clients a chance to understand and promote your product.

Both moves boil down to the same principle: Don’t educate stakeholders in sales, marketing, product management, etc. about the product. Instead, imagine what the success of these respective stakeholders looks like and address that:

  1. Analyze opportunities your product can address in the terms of sales and marketing.
  2. Craft an effective story that centers on your content and how it can drive revenue, sales, customer satisfaction and loyalty.
  3. Prove it with metrics that speak to the stakeholders.

When it comes to metrics, page views of documentation usually don’t impress managers much. Instead, Alyson suggested “time-to-value” (TTV) which measures the customer’s time from buying or paying for the product to the moment they reap value from it. This is similar to “return-on-investment”, but TTV can be clearer to measure when investment consists of one-time payments plus maintenance fees. Also, it’s easier for tech comm to favorably influence TTV… :-)

Why you need a tech comm mission statement

A mission statement for technical communication can help everyone in your company (or you and your customers) to stay on track in pursuit of a common goal of what your documentation can and should achieve.

Just like a corporate mission statement, a tech comm mission gives all parties who are involved with documentation direction and a common goal. It describes the purpose and benefit of the documentation and how it is achieved. It helps to define processes for creating the documentation as well as metrics whether the documentation is successful. If the mission is well-conceived, it guides documentation strategy without prescribing it.

For example, if you want to focus on usability and speed, a mission for your documentation could be: “Our product help answers any user question about product use in no more than three mouse-clicks.” Your strategy would then aim for a well-structured, easily navigable context-sensitive online help – with printed user manuals and closely tied in training materials taking a backseat.

A more comprehensive mission could be: “Our product help provides users with relevant product information at the right time in the right format.” This would set you on a quest to find out who your user types are, which product information is relevant for them and which formats it can be provided efficiently.

A mission statement in itself cannot be right or wrong. But it must be useful in several respects. Specifically, it must help:

  • Your customers and users by guiding you to provide useful documentation.
  • Your company externally to provide documentation which improves the perceived product quality.
  • Your company internally to anchor the importance and function of documentation.
  • You as technical communicators to make appropriate strategic decisions about documentation, for example, which users to address, which deliverables and processes to define, which methods and tools to apply.

What do you think? Is a mission statement for tech comm necessary? Or merely helpful? Or a vain attempt at putting on corporate airs when the writers should just buckle down and get the job done?

ROI of topic-based authoring and single sourcing

Breaking down content silos brings benefits and ROI to topic-based authoring, even if you have little or no translation. I’ve cut down time to write and maintain three deliverables by 30-40% by reusing topics.

Content silos

The company I work for supplies documentation for its software solution in different formats, among them:

  • Release notes inform customers about new features and enhancements in new versions.
  • User manuals describe individual modules of the product, how to set them up, how to operate them and what kind of results to expect from them.
  • Online help focuses on reference information for windows and fields, but has some overlaps with information in user manuals.

Content silos maintain separate contents per deliverable.Originally, these three deliverables were created and maintained in separate “content silos”, using separate tools and separate source repositories. So the documentation process looked like this:

  1. Write release notes in Word.
  2. Update or write user manuals in Word.
  3. Update the online help in a custom-built help tool that uses Word as an editor and Microsoft’s HTML Help Workshop to publish to Microsoft Compiled HTML Help (.CHM).

I’ve found that I could save some time by writing the release notes with the other deliverables in mind, so I could copy and paste content and reuse it elsewhere. For example, my release notes describe a new batch job which helps to automate a tedious workflow. If I describe the batch job in detail, the same content fits easily into the user manual. (Yes, it bloats the release notes, but at least the information is available at the release date, while we didn’t always manage to update the user manual in time.)

Copying and pasting worked even better once I structured the content in each of the three silos as topics. For example, a task topic from the release notes would fit almost gracefully among similar task topics in en existing manual.

But such manual copy-and-paste reuse is really not efficient or maintainable, because my stuff is still all over the place. I may write in – or copy to – four places, but then remember to update only two of them; enter inconsistency and its twin brother unreliability.

Getting real about reuse

To get the full benefits and ROI of topic-based authoring, we’ve found it’s not enough to simply write topics and keep your concepts separate from your tasks. We’ve had to adjust our documentation architecture, our tools and our process.

The guiding principle is: “Write once, publish many”. This tech comm mantra proved to be the key. We now aim to have each piece of information in only one topic. That unique topic is the place we update when the information changes. And that’s the topic we link to whenever a context requires that information.

Single sourcing is the best way to get a collection of unique topics into user manuals and online help. So we needed to consolidate our separate content silos into a single repository from which we can publish all our deliverables.

MadCap Flare is the tool we chose. It gives us a reliable, yet flexible way to maintain a common repository of topics. For each deliverable, such as release notes and user manuals in PDF and online web help, we simply create a new table of contents (TOC) which collects all topics that go into the deliverable.

With topic reuse, we define tables of contents to assemble topics per deliverable.

The writing process has changed considerably: Previously, I would focus on writing a release note entry or a chapter in a user manual. Now I find myself focusing on a specific task or concept and how to describe it as stand-alone content so it works for the user, whether it appears in a user manual or in the release notes.

The flexibilities of MadCap Flare’s conditions feature and of our DITA-based information model help us to accommodate the differences of our deliverables. We still write a few topics explicitly for a specific deliverable. For example, in release notes, short “glue” topics serve to introduce new concept topics and task topics to establish some context for the user and explain why a new feature is “cool”. In user manuals, an introductory chapter with a few topics explains what to find where and which sections to read for a quick start.

But most of the topics can now be used in release notes, user manuals and online help alike. Since I’ve gone from copy-and-paste in three content silos to single sourcing topics in Flare, the time to write and update documentation for my module has decreased by 30-40%. It’s on the lower end if a new version brings a lot of brand-new features. It’s higher if there are more enhancements of existing functionality.

My webinar slides as PDF handout

If you’ve attended my webinar “Getting ahead as a lone writer”, you might be interested in the slides in PDF:

They were supposed to be made available to attendees by the STC, but apparently that hasn’t happened as I’ve just learned yesterday.

If you have any more questions about the webinar or being a lone writer, feel free to browse my previous posts or pose your questions in a comment below.

Auditing Documentation and Processes at tcworld11

Auditing your documentation, and your processes, can help you to gauge estimates and issues as you prepare for localization or content migration. That’s what I learned in Kit Brown-Hoekstra’s useful 2-hour workshop at tcworld (tekom’s international half).

You can easily do the audit yourself: Take a little time, step back from your documentation, and identify weaknesses and areas for improvement. Acting on your audit results, you can

  • Improve customer satisfaction
  • Decrease localization costs
  • Establish a baseline and a direction to develop your documentation
  • Calculate costs and benefits of changes

If you don’t have an express mandate for the audit, it can be worth it to do sort of a “draft audit”. It may come out a little patchy in places, but I think it can give you a first idea of where you stand. With the initial results and measures you can more easily get the time to do an in-depth audit. (But don’t be surprised if colleagues or managers hold you to the improvements you’ve uncovered… :-) )

What to audit

The organization level

Perform a strategic SWOT analysis of Strengths, Weaknesses, Opportunities and Threats of your role in your organization. Internal strengths and external opportunities (mainly) will give you useful arguments to get buy-in from management for changes and further developments you plan. Internal weaknesses and external threats (mainly) help you to assess and manage risk as you proceed.

  • Strengths, for example, may include technical expertise and an understanding of user needs and tasks.
  • Weaknesses, for example, are poor self-marketing or resistance to change.
  • Opportunities, for example, can include agile development (which gives writers a better position in the process) and social media (if you adapt to them and moderate augmenting user-generated content).
  • Threats, for example, might be smaller documentation budgets or social media (if you do not adapt or cannot keep up with user-generated ontent).

Note how threats can be turned into opportunities, if you tackle them wisely! Or vise versa…

The process level

Assess your documentation process through all stages:

Requirements > Design > Writing > Review > Edit > Localization > Publication > Feedback > Modification > Deletion

Answer the following questions:

  • Are all stages well-defined?
  • Is it clear when and how you get from one stage to the next?
  • Do all participants in a stage know what to expect and what to deliver?
  • Can you measure the success of your process?

For the sake of an efficient process, imagine each hand-over between participants or stages as an interface and try to define what’s handed over when and how as well as possible.

The product level

Identify qualities and issues of the product you document to distinguish them from those in your documentation. Weaknesses in documentation often mirror weaknesses or issues in the product, e.g., a poorly designed user interface or a workaround that’s required to complete the user workflow.

You need to know about these issues separately, because they hurt your documentation, but you usually cannot fix them yourself. You can only supply band aid.

The documentation level

Assess the structural quality of your documentation (not the quality of a manual or each topic). Answer these questions:

  • Do you have a suitable information model? This is an architecure that defines the structure of your documentation on the level of deliverables (such as a manual or online help) and on module level (such as a topic or a section).
  • To what extent does your documentation comply with that information model?
  • Do you write documentation so the topics or sections are reusable?
  • Do you reuse topics or sections to the extent that is possible?
  • Do you write documentation so it is ready and easy to localize?
    • Do you use standardized sentences for warnings and recurring steps to minimize localization efforts?
    • Do you leave sufficient white space to accommodate for “longer” languages? For example, German and Russian require up to 30% more characters to say the same as English.

Also assess the content quality of your documentation (now look at some manuals and topics):

  • Is it appropriate for your audience and their tasks?
  • Is it correct, concise, comprehensible?
  • Remember to audit localized documentation, too.

It’s usually enough to audit 10-20% of them to spot 80-90% of the issues.

Audit for efficiency

  • Be objective. …as objective as you can, if you’re auditing your own documentation.
  • Collect issues. You can use a simple spreadsheet to collect your findings: Enter the issue, its impact, its current cost, and the cost to fix it.
  • Prioritize improvements. Ensure that a lower future cost makes the improvement worth doing, after you’ve added up the current cost and the cost to implement the improvement. Start with changes that cost the least and will save you the most.

Bonus tool

To really dive into quality assessment of your documentation, you can totally combine Kit’s audit process with Alice Jane Emanuel’s “Tech Author Slide Rule” which focuses on content quality. Use both and you have a good handle on your documentation – and more improvement opportunities than you can shake a stick at!

Your turn

Do you find this helpful to audit your documentation? Do you know a better way? Or do you think it’s not worth it? Feel free to leave a comment.

Join me for “Getting ahead as a lone writer” at tekom

If you’re attending the tekom conference in Wiesbaden, consider joining me for my updated presentation “Getting ahead as a lone writer” on October 19 at 8:45 a.m. in room 12C as part of tekom’s international, English-speaking tcworld conference.

tcworld conference at Wiesbaden, Germany, in October 2011

My presentation will be an updated version of the session I did at TCUK 10. I will talk about how to overcome neglect and raise your profile by running your job (more) like a business with best practices. Here’s the abstract:

Lone writers are often the only person in the company who creates and maintains documentation. They often operate without a dedicated budget or specific managerial guidance. In this presentation, Kai Weber will draw on his experience to show lone writers how to make the most of this “benign neglect”:

  • How you can still develop your skills – and your career
  • How you can raise your profile with management and colleagues
  • How you can contribute to a corporate communication strategy
  • How you can help your company to turn documentation from a cost center into an asset

Twitter meetup afterwards

Join us on Wednesday at 9:35 am on the upper floor in the foyer in front of rooms 12C and D for a #techcomm meetup after the session! @rimo1012 and I, @techwriterkai, are presenting at the same time in adjacent rooms, so if you know us from twitter, stop by and say hi!

I’ll be blogging from the conference, so watch this space…

“Statistics without maths” workshop at #TCUK11

Technical Communication UK 2011 is off to good start with around 100 people attending six pre-conference half-day workshops on Tuesday. Even the night before saw about 20 attendees joining the organisers to help with last-minute setup chores, not to mention drinks and dinner.

On Tuesday afternoon, I attended the workshop “Statistics without maths: acquiring, visualising and interpreting your data” by Mike K. Smith, Chris Atherton and Karen Mardahl.

Mike K. Smith encourages us to insist on hard evidence

The workshop was virtually free of math in terms of formulas and calculations. Nonetheless, its introduction of concepts such as different average measurements mean vs. median vs. mode, or such as standard deviation vs. standard error challenged tech communicators. Personally, I’m more familiar with the finer points of language, not mathematical concepts, so it was a bit of a stretch for me.

The focus, however, was on general principles that give well-done statistics the power to infer a greater whole from representative data:

  • Strength of evidence, meaning the amount of data is large enough
  • Quality of data, meaning the data is good and useful to answer the question

A simple example illustrated these points:

1. Survey a group of people whether they like Revels, a British candy that comes with different fillings and hence different flavours, in general.

2. Hand out one Revel each to a smaller group of people and ask them how many liked the specific Revel they were given.

Frequently, the results of #2 are interpreted to mean #1. And that’s not even taking into consideration the alternative suggested by the workshop audience:

3. Watch a smaller group eat Revels (best without their knowing that they’re being watched) and draw your your conclusions how many really like Revels.

Another principle that was presented and discussed was that correlation measured by studies and statistics is not the same as causation: Two things that frequently or always occur together don’t mean that one causes the other. They could both be caused by a third overarching force. Or maybe there’s no causal relation between them at all…

The workshop about these concepts with dozens of examples also showed up a few cultural differences: Statisticians seem to strive for accuracy and precision to the point of not quite intelligible anymore, at least not outside their peer group.

I think some of the finer points about the definitions of averages and standard measurements (see above) were lost on some of us tech comm’ers. Still, the general message resonated with many: Statistics deserve close scrutiny, for the numbers they present, for the conditions in which they were measured and for the questions they seek to answer.

As Mike Smith put it towards the end:

What do we want?
Evidence-based change!
When do we want it?
After peer review!

Alice Jane Emanuel’s “Tech Author Side Rule” at #TCUK11

Technical Communication UK 2011 is off to good start with around 100 people attending six pre-conference half-day workshops on Tuesday. Even the night before saw about 20 attendees joining the organisers to help with last-minute setup chores, not to mention drinks and dinner.

On Tuesday morning, I attended Alice Jane Emanuel‘s workshop “The Tech Author Slide Rule: Measuring and improving documentation quality“. In a lively and engaging session, “AJ” taught us how to use the slide rule she came up with. It is actually an Excel spreadsheet that helps you measure qualities such as structure, navigation, language, and task orientation. You weigh a good 30 or so of such qualities in documentation, depending how important they are to you. Then you can grade a document (or a collection of topics after optional tweaking) by assigning points for each quality. The sheet sums up the weighed points per category and also for a total score.

AJ Emanuel, with David Farbey, before explaining the Tech Author Slide Rule

While the sheet is excellent to track progress over time, you can see results very quickly by comparing your current documentation with legacy deliverables. The quantified approach offers a range of benefits that are otherwise hard to come by for tech writers:

  • The numbered scores appeal to managers and make to easier for writers to show progress and accountability.
  • The standardized categories can help you to build a team by ensuring that everyone focuses on the same qualities and by pointing to problems where individual documents go off the rails. They also help to train new writers.
  • In general, it helps to raise the profile of technical communication by clarifying its contribution and giving everyone in the organization more specific terms and numbers to discuss.

AJ emphasized that you need to keep the tool’s categories and usage consistent: It’s fine to change or add categories, weights and ranges of available weights and scores, but remember that you jeopardize comparability of results when you do. It may be fine to add a handicap for special cases, but in general, beware of grade inflation and keep your grading consistent.

I think the tool is a great addition to any peer review/editing process when fellow tech writers assess style guide compliance. Given it’s granularity of dozens of weighted criteria, I expect it would be most valuable to improve writing that’s problematic in specific categories. When different writers assess the quality of different deliverables over time, I’m not sure if the grading is consistent enough and the one total score is indicative enough to track progress in a meaningful quantifiable way. However, I believe it could still show relative improvement.

I think it’s very much worth checking out AJ Emanuel’s slide rule, and it’s easy to test drive it:

  1. Download the tool from AJ’s website Comma Theory where you can also find additional information.
  2. If you want to, tweak the categories (for example, by comparing it with Gretchen Hargis’s qualities in her book Developing Quality Technical Information: A Handbook for Writers and Editors.)
  3. Quickly grade a (short) document in a legacy version which has since seen significant improvement and in the current version.
  4. Evaluate the scores and test them on colleagues or managers.

How to convince managers of topic-based authoring, part 2

To get managers behind a migration to topic-based authoring (TBA), focus on benefits and savings. This is the last post in a two-part series. Find the beginning and background in part 1.

I present the speaker notes and explanations instead of the actual slides which only contain the phrases in bold below.

Benefits and challenges for writers

Make documentation efficient. For technical writers, the structure within topics and across all topics makes writing topics more efficient because you spend less time stressing over what goes where and over layout.

Make documentation transparent. The structure of the topics collection as a whole makes content more transparent: It’s easier to spot a missing topic, if each setup procedure (how to set up stuff) is accompanied by an operating procedure (how to use what you’ve just set up) and by a concept topic (what is that stuff you’ll set up and operate). Thanks to their structure and smaller units, documentation efforts also become easier to estimate – though maybe more tedious to report on in their details.

Collaborate more easily. The structure also makes it easier and faster for writers to collaborate on writing, reviewing and editing each other’s topics, again, because it’s quickly obvious what belongs (or is still missing) where.

Assume new tasks and responsibilities. Challenges for writers are learning a whole new range of tasks and responsibilities, from “chunking” subjects into topics and making sure there is one (main) topic for each subject to interfacing nicely with the topics of colleagues to peer-editing other people’s topics. On the other hand, most writers no longer have to double as layouters and publishers, since that role is usually in the hands of a few people.

Migrating legacy content. Another challenge is, of course, to migrate all existing contents into topics. However, this is a one-time effort, while the benefits of clearly structured topics keep paying off.

Benefits and challenges for companies

Of course, the benefits and challenges for writers affect the company as a whole. But there are additional effects to the company owning topic-based documentation.

Leverage corporate content. Cleanly structured (and tagged) content in topics is much easier to leverage as part of a corporate content strategy. (Did I mention this was a presentation for managers? Hence the verb “to leverage”…) After all, there are other teams who may well hold stakes in some documentation topics or parts of them:

  • Product management or even Marketing may want to reuse parts of concept topics, such as use cases.
  • Training could reuse procedural topics.
  • Quickly searchable documentation can improve customer services – or any type of performance support your company may offer.

Make recruitment more efficient. Clearly structured, topic-based documentation will make it easier on a company to find and hire professional, qualified technical writers – and help new writers get up to speed faster.

Savings from topic-based authoring

Your mileage will vary, depending on your current deliverables, processes and tools. However, from the case studies I’ve seen around the web and at conferences, our numbers are not unusual. Savings are in hours for writers who apply topic-based authoring compared to their earlier efforts without TBA.

  • Writing Release Notes as usual – saving 0%
  • Writing Online Help, largely reusing Release Notes topics – saving 45-60%
  • Writing new User Manuals, by reusing some topics from Release Notes or Online Help – savings unknown
  • Updating existing User Manuals, by reusing Release Notes topics – saving 60-75%

Complementary information

To read more about measuring efforts and costs, see my previous posts about:

About topic-based authoring, I recommend these two books:

Your turn

Would these arguments convince your managers to support you in moving to topic-based authoring? What other arguments might it take? Should such an initiative to restructure documentation come from writers or managers? Please leave a comment.

Improve documentation with quality metrics

Quality metrics for technical communication are difficult, but necessary and effective.

They are difficult because you need to define quality standards and then measure compliance with them. They are necessary because they reflect the value add to customers (which quantitative metrics usually don’t). And they are effective because they are the only way to improve your documentation in a structured way in the long run.

Define quality standards

First, define what high quality documentation means to you. A good start is the book Developing Quality Technical Information: A Handbook for Writers and Editors from which I take these generic quality characteristics for documentation topics:

  • Is the topic task-oriented?
    Does it primarily reflect the user’s work environment and processes, and not primarily the product or its interface?
  • Is the topic up-to-date?
    Does it reflect the current version of the product or an older version?
  • Is the topic clear and consistent?
    Does it comply with your documentation style guide? If you don’t have one, consider starting from Microsoft’s Manual of Style for Technical Publications.
  • Is the topic accurate and sufficient?*
    Does it correctly and sufficiently describe a concept or instruct the customer to execute a task or describe reference information?
  • Is the topic well organised and well structured?*
    Does it follow an information model, if you have one, and does it link to relevant related topics?

* Measuring the last two characteristics requires at least basic understanding of topic-based authoring.

The seal of quality

You may have additional quality characteristics or different ones, depending on your industry, your customers’ expectations, etc. As you draft your definition, remember that someone will have to monitor all those characteristics for every single topic or chapter!

So I suggest you keep your quality characteristics specific enough to be measured, but still general enough so they apply to virtually every piece of your documentation. Five is probably the maximum number you can reasonably monitor.

Measure quality

The best time to measure quality is during the review process. So include your quality characteristics with your guidelines for reviewers.

If you’re lucky enough to have several reviewers for your contents, it’s usually sufficient to ask one of them to gauge quality. Choose the one who’s closest to your customers. For example, if you have a customer service rep and a developer review your topics, go with the former who’s more familiar with users’ tasks and needs.

To actually measure the quality of an online help topic or a chapter or section in a manual, ask the reviewer to use a simple 3-point scale for each of your quality characteristics:

  • 0 = Quality characteristic or topic is missing.
  • 1 = Quality characteristic is sort of there, but can obviously be improved.
  • 2 = Quality characteristic is fairly well developed.

Now, such metrics sound awfully loose: Quality “is sort of there” or “fairly well developed”…? I suggest this for sheer pragmatic purposes: Unless you have a small number of very disciplined writers and reviewers, quality metrics are not exact science.

The benefit of metrics is relative, not absolute. They help you to gauge the big picture and improvement over time. The point of such a loose 3-point scale is to keep it efficient and to avoid arguments and getting hung up on pseudo-exactitude.

Act on quality metrics

With your quality scores, you can determine

  • A score per help topic or user manual chapter
  • An average score per release or user manual
  • Progress per release or manual over time

Areas where scores lag behind or don’t improve over time give you a pretty clear idea about where you need to focus: You may simply need to revise a chapter. Or you may need to boost writer skills or add resources.

Remember that measuring quality during review leaves blind spots in areas where you neither write nor review. So consider doing a complete content inventory or quality assessment!

Learn more

There are several helpful resources out there:

  • The mother lode of documentation quality and metrics is the book Developing Quality Technical Information by Gretchen Hargis et al. with helpful appendixes, such as
    • Quality checklist
    • Who checks which quality characteristics?
    • Quality characteristics and elements
  • Five similar metrics, plus a cute duck, appear in Sarah O’Keefe’s blog post “Calculating document quality (QUACK)
  • Questionable vs. value-adding metrics are discussed in Donald LeVie’s article “Documentation Metrics: What Do You Really Want to Measure” which appeared in STC’s intercom magazine in December 2000.
  • A summary and checklist from Hargis’ book is Lori Fisher’s “Nine Quality Characteristics and a Process to Check for Them”**.
  • The quality metrics process is covered more thoroughly in “Quality Basics: What You Need to Know to Get Started”** by Jennifer Atkinson, et al.

** The last two articles are part of the STC Proceedings 2001 and used to be easily available via the EServer TC Library until the STC’s recent web site relaunch effectively eliminated access to years’ worth of resources. Watch this page to see if the STC decides to make them available again.

Your turn

What is your experience with quality metrics? Are they worth the extra effort over pure quantitative metrics (such as topics or pages produced per day)? Are they worth doing, even though they ignore actual customer feedback and demands as customer service reps can register? Please leave a comment.

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