Archive for the 'Uncategorized' Category

Beautiful blist blog badges

We  have two new blist badges that you can put on your blog or other web page to let the world know that you use blist, and are generally brilliant. We have a two sizes of .GIF images. All you need to do is copy the HTML for the appropriate badge and paste it into the sidebar (or other location) on your blog or other webpage:

Small:

blist <a href="http://www.blist.com/?=b"><img src="http://blog.blist.com/wp-content/uploads/2008/11/blist_badge_small.gif"></a>

Large:

blist <a href="http://www.blist.com/?=b"><img src="http://blog.blist.com/wp-content/uploads/2008/11/blist_badge_big.gif"></a>

Email the link to your page with a blist badge to feedback@blist.com, and we will mail you a blist sticker.

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blist for educators - teaching technology

If you are interested in using new web technology for teaching, you should take a look at blist. We are finding a lot of organic interest from teachers using blist in two distinct ways.

First, blist is great for classroom administration - being a database, you can start with one row per student, add yearbook photo in one column, upload homework as a Word document, or other file in another column, and then create a whole table within a cell for each student to keep track of grades for each student on each assignment in each class.

Second and more subtly, some teachers are using blist to teach computer and database concepts to students in a visual and intuitive way. For instance, the idea of a database itself as a collection of two-dimensional tables connected together in specific ways can be hard to conceptualize, but is easy to show using blist’s table within a cell feature.

TeachersFirst, an online resource and community for educators recently reviewed blist and provided these ideas for using blist in the classroom:

Possible uses: Teach about data collection and analysis using this tool on your interactive whiteboard or projector. The highly visual, drag and drop interface will make data manipulation work more intuitively for your students to understand. Let them click and drag to create a blist and resulting graphs from surveys the class conducts. If you are comfortable allowing students to use the tool, create an inventory of books read independently with reviews, ratings and more. Students can add to it from home and collect credit for outside readings or find books based on others’ reviews. Collect lab data, have groups collect data on famous people, inventors, or historic events. Compare consumer goods. Share important dates and checklists for major projects by allowing student and parents to VIEW (not edit) a database you create. Assign students to evaluate and compare different web resources as part of a class research assignment.

You can read the rest of the review here.

The TeachersFirst Edge Team conveniently created a blist with even more ideas for classroom use.

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blist for employment agencies

blist is a great tool for human resources (HR) and employment agencies. Allan in Hong Kong writes:

“I use blist for an online database for our small employment agencies. We run an employment agency in Hong Kong, placing Filipino workers with HK families. We have to collect and keep data on the domestic helpers, including medical reports, scanned passports, etc. We also need to keep a simple CRM database on people who call or email us looking for a maid. Many of these people will eventually go from leads to customers. We also keep documents for them, proof of address, income, etc. that we use to apply for a work visa. We want to be able to integrate the two, and blist’s ability to place a blist in a blist is great.

Traditional CRMs are expensive and often difficult to set up. The makers seem to think that one size fits all. blist would be ideal for any business that needs to keep a variety of “stuff” together. It’s like having a smart file folder, into which I can stuff pictures, documents, etc., and find them and their connections quickly.”

We find that every business is unique, and while there are many needs in common, each business, not just each vertical or category, requires special consideration. This is blist’s sweetspot: simple yet powerful, and easily customized to the specific needs of your own business. Try blist for yourself: www.blist.com

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Join us at Defrag 2008


We’ll be at Defrag 2008 in Denver on Monday & Tuesday the 3rd & 4th of November. We’re looking forward to participating in the discussion around defragmenting data that’s skattered and strewn all over the place. We hope to see you there.

As you can see, we’re in good company.


Who’s at Defrag?

Powered by blist


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What is a lens? How do I make one?

this is what a blist looks like

To the casual observer, blist looks a lot like a visually rich spreadsheet. That’s by design. We want blist to seem familiar despite that under the cover it’s more a web-based database than a web-based spreadsheet. After all, spreadsheets are great for crunching numbers. But databases are much better for storing, finding and analyzing data.

One of the features that makes blist a database is the ability to create, save and execute lenses. A lens is a custom view of your data. A lens can include:

  • Optionally a filter - criteria used to select a subset of the rows from the underlying full blist. Here are a few examples:
    • Lead Stage = In Closing
    • Varietal = Merlot AND Vintage BETWEEN 2003 AND 2005
    • Priority = High OR (Age > 90 AND Priority = Medium)
    • Opportunity > 1000000 AND Probability of Close = High AND State = CA

If you create a filter, you’ll only see those rows. The rest of the data is still there, it’s just concealed from you while you work through the lens. If don’t create a filter, you’ll see all of the rows.

  • Optionally a column list - a subset of the columns that you want to see when viewing your data through this lens. As an example we use blist for our bug tracking system. It has 20 columns including a plain text field to hold the subject and a rich text field where we enter a much lengthier narrative description. Sometimes I just want a quick peek into open bugs so in my lens I hide about 10 of the columns I’m not currently interested in, including the description.

  • Optionally a sort order of rows visible through your lens. Perhaps you want to see your sales leads by stage and then opportunity size. Maybe you want to view your open bugs by priority then severity then age. If you don’t specify a sort order the rows are displayed in their natural physical order, which is the order in which they were entered.

The user adoption pattern for lenses is interesting to observe. People operate without lenses for quite a while then all of sudden create dozens of them. I think it’s because there’s a barrier to overcome understanding them, then the lightbulb goes on, and people realize that lenses are a really powerful way to slice through data.

While there are times when going through the effort to create a temporary, disposable lens might make sense, the real power of lenses is that they can be saved, reused and shared. To change my view to any lens for the current blist, I just need to drop down the lens selector:

Hopefully you’re now excited to try lenses for yourself. Let’s make one. We’ll create a lens against the following hypothetical sales pipeline:

To start creating a lens, load up one of your blists then click on the lens builder icon or feel free to borrow the one above. It’s called “Hypothetical Sales Pipeline” and I’ve made it publicly accessible.

Click on the lens builder icon. I’ve circled it in red to show you where it is.

The lens builder has 3 tabs. The first tab is for creating your filter criteria. The second tab is for selecting the columns you want to show and which you want to hide. The third tab is for specifying the sort order.

The first tab - Filter Criteria - is initially empty:

Let’s find all of the leads where the stage is “Active Negotiations” and the opportunity size is greater than or equal to $2,500. Drag and drop the column called “Sales Stage” from the list of columns onto the filter canvas. Leave the condition combo box in the middle set to “Equals” then drop down the values combo box. It’s the rightmost combo box. Notice it has all of the sales stages. Find “Active Negotiations” in the list and select it. Next drag and drop the column “Oppty Size” on to the grid. Notice that an [And] button appears to connect the two conditions. That’s what we want, so leave it alone. (Under different circumstances, we might want either stage = “Active Negotiations” OR opportunity size >= $2,500. In that case we’d just click on the [And] button to flip it to [Or].) We want to change the condition from “Equals” to “Greater than or equal to” and then type in $2,500 into the rightmost field. When you’re done, it should look like this:

We don’t need all of the columns in the output. Let’s just include the name of the company, probability of close, the sales rep, and the opportunity size. Click on the columns tab and move all but those 4 columns from the list of visible columns to the list of hidden columns. You can move them by any of three methods -  dragging and dropping, using the left and right arrows in the middle, or double clicking. When complete, it will look like this:

Finally, let’s sort this in descending opportunity size order. Click on the “Sort By” tab. Move the column “Oppty Size” from the unsorted columns list to the sorted columns list. By default columns are sorted in ascending order. We want them to be listed in descending order, so click on the word “ascending” to invert it to “descending” order. It will look like this when you’re done:

We’re almost done. We could click [OK] and see the results and then perhaps discard the lens. But let’s instead give our lens a name in case we want to run this again in the future. Click on the [Save as...] and call it “Active Negotiations” then click [OK]. The lens has been saved by name and the results are displayed. Here’s what the results looks like:

That’s all there is to creating a lens in blist. Remember that a lens is a real-time view of your underlying data. If you load the same lens two days in a row, you will get different results if the underlying data has changed.

If you would like a more visual tutorial, we have a 2-minute blist video that shows you how to create a lens.

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Row Highlighting With Color Tags

Kevin wrote a detailed guide to tagging blists and rows in blist a few days ago. You can also use row tags to highlight rows in different colors - all you have to is tag a row with the name of a color. The basic colors are all supported: red, orange, yellow, green, blue, purple - even pink, and black (which looks gray because the colors are semi-transparent). If you were so inclined you could even color your blist rows like a rainbow:

Go ahead and start highlighting rows.

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New Help Videos Online

Today we released 13 new “How Do I?” videos and an updated Getting Started Guide to help you learn blist.  This content is available in the product help section.  Enjoy and please let us know if there are other videos you’d like to see!


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Here are HTML links to the videos, if you’re reading this from a source that doesn’t have flash support.

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Cohorts, Retention, Churn, ARPU

Measuring and optimizing user retention, churn, and average revenue per user (ARPU) is of vital importance to the success of a web application. Not infrequently the cost to acquire a user is above and beyond the value or revenue that you get from that user – and you can’t make that discrepancy up on volume. If you bring in a user and they come back a second, or a third, or a hundredth time (I’ve certainly been to Amazon and Facebook more than 100 times) – you can amortize the cost of acquiring that user down to just about nothing.

Your business has a steady-state user base that starts with new user acquisition, which is dampened by loss in your initial conversion funnel, and balanced against the churn-out of existing users

This is just a long-winded way of saying that stickiness really, really matters, and you need to iterate your product to improve it, for example:

This graph compares three sample user retention curves over a four-week period after the week of account creation. Lets say the starting point for your web application is the blue graph, where 40% of users who join in one week return during the second week, 20% during the third week, 10% in the fourth week and 5% in week five.

Then you make some changes to your application, your user retention curve now looks like the red line, 50% of people come back in the second week, but the attrition and churn in subsequent weeks is faster than you had before. Perhaps you bought traffic and those new people were outside your core demographic, or perhaps you started sending weekly emails to users that brought them back a second time, but that started to rub people the wrong way.  The total percentage of users returning over that four-week period is higher – the sum of the percentages for the period is 87 versus 77 for the blue curve. But there’s a concern that as time goes on, every user is going to get sick of your application and leave for good.

Then you decide to tone down the aggressive emailing, you focused your messaging down to a narrower but more passionate audience, and added some really valuable content that you kept refreshing every week. Now your user retention curve looks like the green line. Only 30% of your new users come back in the second week, but people fanatically keep coming back again and again. The sum of the returning user percentages for the green line is 82, less than the red curve, but more than the blue curve. But looking forward, you can clearly see that as additional weeks pass – your active user-base is going to keep building, and the sum of percentages for the green curve will quickly outstrip what you would have had if you were living on either of the two previous curves. For the mathematically minded among you, that sum of percentages can be thought of as the area under the curve, or the integral of the user retention curve - there, you just did calculus!

Since blist is a collaborative product, we get a significant number of new users from existing users sharing blists and inviting friends and colleagues. And a significant amount of sharing and inviting happens after users spend a few weeks exploring blist, familiarizing themselves, finding value in the single-user case. If our users don’t stick around for at least weeks, we miss out on additional new users.

It’s well understood that breaking down your conversion funnel into steps and measuring the drop-off rate at every step – and removing friction at every point – is critical to succeeding on the web, and it’s equally important to measure and iterate on your product for retention as well, minimizing churn, amortizing the cost of user acquisition, maximizing the lifetime value of a user – and finally your average revenue per user or ARPU.

The right way to measure changes in user retention over time is ‘cohort analysis’ – comparing the percentage of users who, say, created accounts in one day, or week, or month who log-in, or take some other action, like buying a product, in subsequent days, weeks or months with other users who created their accounts in earlier and later periods. A good time-scale to start with for most web applications is week over week.

The basic question to ask and answer is: “Is the percentage of new users from last week who came back this week higher than the percentage of new users from two weeks ago who came back last week?”

For further reading, Josh Kopelman and Andrew Chen and Dave McClure have previously contributed great resources on retention, cohort analysis and ARPU.

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Adobe Flash Player 10 Has Been Released

Just a quick update to let you all know that Adobe had released the production version of Flash Player 10. The improvements are primarily in 2D and 3D rendering, but other improvements include richer text formatting, especially right to left text. Adobe also fixed a performance bug in Flash Player 9 that was especially apparent on the Mac. In other words, Flash Player 10 is much faster than Flash Player 9 on the Mac.

Many of us at blist have been using beta versions of Flash 10 for a couple of months and we recommend you upgrade from Flash 9 to Flash 10 at your earliest convenience.

You can download Flash Player 10 on Adobe’s website.

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blist for SEO - SEM firms and consultants

A number of SEO/SEM firms and consultants have been early adopters and active users of blist.

SEO/SEM firms are using blist both on the client side, managing clients, sales leads, and projects, and on the campaign/keyword side. Besides collaboration and keyword lists, blist can also store more visual creative like banner ad treatments and ad variations right in the grid using the photo datatype. You can also use the photo datatype to do things like store screenshots of particular organic search results pages and placements as well as snapshots of paid ad placements at particular moments in time and different geo-locations.

Pure Visibility is an SEO/SEM firm located in Ann Arbor, Michigan. Co-founder Catherine Juon describes how and why they are using blist today:

“I found blist through Twitter.
We are using it because we literally couldn’t find a tool that would allow us to manage competitive intelligence the way we wanted to. I wanted more than you can do via Excel - I wanted to easily be able to pull up a list of companies that met criteria a and b AND c…  And getting that third or fourth item is basically impossible in Excel.
We also are used to doing many things collaboratively via tools like basecamp, salesforce, etc…. which we *could* do via google docs… but you still have the same issue of being able to sort the data, which was really the whole point.”

If you work in SEO/SEM field, please take some time to run blist through its paces: www.blist.com

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