Learn the rules to Data Draw Up; a fun way to get your teams invested in data.

了解數(shù)據(jù)收集的規(guī)則； 一種讓您的團(tuán)隊(duì)投入數(shù)據(jù)的有趣方式。

Let’s keep things short. Metrics are one of the most important things in Product Management. They help us to understand if the changes we are making to a product or feature are actually paying off and if we’re closer to accomplishing our goal, KPI, or OKR. But that’s not the only reason we need them, they also help everyone involved in the product answer key questions…and yes I do mean everyone. From Software Engineers to UX, it can help the whole team become more data-informed.

讓我們簡短點(diǎn)。 指標(biāo)是產(chǎn)品管理中最重要的事情之一。 它們幫助我們了解我們對產(chǎn)品或功能所做的更改是否真正奏效，以及我們是否更接近實(shí)現(xiàn)目標(biāo)， KPI或OKR 。 但這不是我們需要它們的唯一原因，它們還可以幫助產(chǎn)品中涉及的每個(gè)人回答關(guān)鍵問題……是的，我的意思是每個(gè)人。 從軟件工程師到UX，它可以幫助整個(gè)團(tuán)隊(duì)了解更多數(shù)據(jù)。

What I’m going to show you now is an easy framework I put together using well-known tools like How Might We (HWM), Brainstorming, and Google HEART metrics. This is meant to be done in a workshop either in-person with post-it’s or online with Miro/Mural. Of course, it needs a catchy name which is (bare with me) Data Draw Up or DDU for short. It consists of 5 steps and should take a little less than 2 hours, depending on the size of the team which should be around 7.

現(xiàn)在，我將向您展示的是一個(gè)簡單的框架，我使用眾所周知的工具(例如， 我們的能力(HWM)，頭腦風(fēng)暴法和Google HEART指標(biāo))將它們組合在一起。 這意味著可以在現(xiàn)場與Post-posts現(xiàn)場交流，也可以在Miro / Mural在線交流中進(jìn)行。 當(dāng)然，它需要一個(gè)易記的名稱，即“ Data Draw Up”或“ DDU”的簡稱。 它由5個(gè)步驟組成，大約需要不到2個(gè)小時(shí)，具體取決于團(tuán)隊(duì)的規(guī)模(大約7個(gè)團(tuán)隊(duì))。

為什么選擇DDU？ (Why DDU?)

But first, let’s see why this is so important and how it’s helped the teams I’ve worked with in the past.

但首先，讓我們看看為什么這是如此重要，以及它如何幫助我過去與之合作的團(tuán)隊(duì)。

If your team is like most teams, then you’re probably the only person who keeps track of the product metrics. There might be a meeting that’s done every now and then where you share the metrics with the team but let’s be real, people usually don’t understand them or they might show interest but after the meeting is over they don’t see metrics again until the next one.

如果您的團(tuán)隊(duì)像大多數(shù)團(tuán)隊(duì)一樣，那么您可能是唯一跟蹤產(chǎn)品指標(biāo)的人。 可能會(huì)不時(shí)進(jìn)行一次會(huì)議，在此您與團(tuán)隊(duì)共享指標(biāo)，但說實(shí)話，人們通常不理解它們，或者他們可能會(huì)表現(xiàn)出興趣，但是會(huì)議結(jié)束后，他們不會(huì)再看到指標(biāo)，直到下一個(gè)。

Let me say this once, it’s your job as a product manager to help everyone in your team, and the obvious stakeholders, to understand and be invested in the most important metrics.

讓我這么說一次，作為產(chǎn)品經(jīng)理的工作是幫助團(tuán)隊(duì)中的每個(gè)人以及明顯的利益相關(guān)者理解和投資于最重要的指標(biāo)。

The result of DDU is a team that creates its own metrics, shares different perspectives, and each individual member constantly checks if what they’re doing has an impact. This can be very powerful and will help you take your team to the next level, ever so close to that high performing team you’ve always dreamed of. Let’s get to it!

DDU的結(jié)果是，一個(gè)團(tuán)隊(duì)創(chuàng)建了自己的指標(biāo)，擁有不同的觀點(diǎn)，并且每個(gè)成員都不斷檢查自己的行為是否有影響。 這可能非常強(qiáng)大，并且可以幫助您將團(tuán)隊(duì)提升到一個(gè)新的水平，與您夢dream以求的高績效團(tuán)隊(duì)如此接近。 讓我們開始吧！

You might also be interested in: 5 Reasons Why Product Managers Have to Understand Data

您可能也有興趣： 產(chǎn)品經(jīng)理必須了解數(shù)據(jù)的5個(gè)原因

DDU如何工作？ (How DDU works?)

As I mentioned before, Data Draw Up can be done in a workshop using 5 simple steps:

正如我之前提到的，可以在車間中使用5個(gè)簡單步驟完成數(shù)據(jù)收集：

步驟1：提出一些HMW問題 (Step 1: Make some HMW questions)

This is the first step in getting a team that cares about data. Every one, individually, writes in posts-it’s (physical or digital) what they would like to know about the product in the HMW format. For example, “How Might We know if the user is getting all the information he/she needs from our website”.

這是建立一支關(guān)心數(shù)據(jù)的團(tuán)隊(duì)的第一步。 每個(gè)人都以手寫形式(物理或數(shù)字形式)寫他們想要了解的HMW格式產(chǎn)品的信息。 例如，“ 我們?nèi)绾沃烙脩羰欠裾趶奈覀兊木W(wǎng)站獲取他/她需要的所有信息”。

Make sure you explain how the HMW format works and keep everything time-boxed. This shouldn’t take more than 10 minutes. It’s ideal if each person has about 3 post-its. EACH HMW GOES IN AN INDIVIDUAL POST-IT. After, make sure everyone reads aloud their own post-it’s.

確保您說明了HMW格式的工作原理，并且將所有內(nèi)容都保留在時(shí)間范圍內(nèi)。 此過程不應(yīng)超過10分鐘。 每個(gè)人都有大約3個(gè)便利貼是理想的。 每個(gè)HMW都在單獨(dú)的便利貼中使用。 之后，請確保每個(gè)人都大聲朗讀自己的帖子。

步驟2：投票給您最喜歡的人 (Step 2: Vote your favorite)

Now that you have all the questions the team wants to answer, group them all based on which are similar. When you have them grouped, you can choose one to represent the whole group and rephrase it if needed. After this is done and clear, just vote!

現(xiàn)在，您已經(jīng)有了團(tuán)隊(duì)想要回答的所有問題，請根據(jù)相似的問題將它們?nèi)糠纸M。 將它們分組后，可以選擇一個(gè)代表整個(gè)組，并在需要時(shí)對其重新措辭。 完成并清除之后，只需投票！

Each person can vote 3 times. And no, you can’t vote on the same post-it more than once but you can vote on the one you created. Remove all the ones that didn’t receive a vote and prioritize them based on higher votes. You want to have between 4 and 6 HMW’s. So you can just go with the ones with the highest votes. Don’t vote again! Keep things simple and time-boxed for máx 5 minutes.

每個(gè)人可以投票3次。 不，您不能在同一張便利貼上進(jìn)行多次投票，但可以對自己創(chuàng)建的帖子進(jìn)行投票。 刪除所有未獲得投票的投票，并根據(jù)更高的投票對其進(jìn)行優(yōu)先排序。 您希望擁有4到6個(gè)HMW。 因此，您可以選擇票數(shù)最高的人。 不要再投票！ 讓事情簡單明了，限時(shí)5分鐘。

步驟3：根據(jù)HEART指標(biāo)進(jìn)行分類 (Step 3: Categorize based on HEART metric)

This is where things start to get more interesting. Make sure you understand how to use the Google HEART metrics framework. There is tons of information online. For this step, all we need to do is categorize each HWM post-it into one of the five metric types which are: Happiness, Engagement, Adoption, Retention, and Task Success. Keed this time-boxed for 5 minutes.

這是事情開始變得更加有趣的地方。 確保您了解如何使用Google HEART指標(biāo)框架。 在線上有大量信息。 對于這一步，我們需要做的是每個(gè)分類HWM后它進(jìn)五種度量標(biāo)準(zhǔn)類型是哪一種：H appiness，E ngagement，A doption，R etention和T問成功。 保持這個(gè)時(shí)間限制5分鐘。

步驟4：將HMW轉(zhuǎn)換為指標(biāo) (Step 4: Convert the HMW’s into metrics)

Now that you have the post-it’s categorized you need to make each HMW into a goal following the Goals-Signals-Metrics process. You can go one by one, converting the HMW into a goal. Then specifying the signal or signals associated with each goal.

既然您已對帖子進(jìn)行了分類，則需要按照“目標(biāo)-信號-度量”流程，將每個(gè)HMW都變成一個(gè)目標(biāo)。 您可以一步一步地將HMW轉(zhuǎn)換為目標(biāo)。 然后指定與每個(gè)目標(biāo)相關(guān)的一個(gè)或多個(gè)信號。

Finally, the metric or metrics associated with each signal or signals. Yes, you can reuse the signals and metrics with different goals. So following the previous example, the HMW “How Might We know if the user is getting all the information he/she needs from our website” would be the goal “User needs additional information”.

最后，與每個(gè)信號或多個(gè)信號相關(guān)聯(lián)的一個(gè)或多個(gè)度量。 是的，您可以重用具有不同目標(biāo)的信號和指標(biāo)。 因此，按照前面的示例，HMW“我們?nèi)绾沃烙脩羰欠裾趶奈覀兊木W(wǎng)站獲取他/她需要的所有信息”將成為目標(biāo)“用戶需要其他信息”。

Basically, how would we know a user has all the information needed? One way is to know when information is missing. That’s how we get our goal. Now for the signal, a user contacting us to request more information or clicks on a “More Information” button are triggers or signals that tell us that a user needs more information.

基本上，我們?nèi)绾沃烙脩魮碛兴璧乃行畔?#xff1f; 一種方法是知道何時(shí)缺少信息。 這就是我們實(shí)現(xiàn)目標(biāo)的方式。 現(xiàn)在，對于信號，與我們聯(lián)系以請求更多信息或單擊“更多信息”按鈕的用戶是觸發(fā)或信號，它們告訴我們用戶需要更多信息。

You might also be interested in: What Is Product Analytics?

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Lastly, for the metrics, this could be % of clicks on “More Information” overall page visits. Which we can interpret as the closer it is to 100% the fewer users need additional information and the better you’re satisfying that need. This is probably the activity which takes the longest, try to keep it time-boxed at 15 minutes.

最后，對于指標(biāo)而言，這可能是“更多信息”整體頁面訪問的點(diǎn)擊次數(shù)的百分比。 我們可以將其解釋為越接近100％，則用戶需要更多信息的數(shù)量就越少，而您對這種需求的滿足就越好。 這可能是耗時(shí)最長的活動(dòng)，請嘗試將其時(shí)間限制在15分鐘以內(nèi)。

步驟5：與您的團(tuán)隊(duì)分享 (Step 5: Share with your team)

Great! This is the last step. Here you basically have everything you need. Now you only have to make sure to document everything (keeping it short and sweet). And make sure you implement these metrics right away. You might already have the metrics ready but if you don’t, make sure to add them to the next sprint or user story.

大！ 這是最后一步。 在這里，您基本上擁有了所需的一切。 現(xiàn)在，您只需要確保將所有內(nèi)容都記錄下來(保持簡短而優(yōu)美)即可。 并確保您立即實(shí)施這些指標(biāo)。 您可能已經(jīng)準(zhǔn)備好指標(biāo)，但如果沒有，請確保將其添加到下一個(gè)Sprint或用戶故事。

Also, create a dashboard in your favorite analytics tool so your whole team can see it. As advice, I would always keep the original HMW questions next to the goal/signal/metric so everyone can keep track of the questions they wanted to be answered.

另外，在您最喜歡的分析工具中創(chuàng)建一個(gè)儀表板，以便整個(gè)團(tuán)隊(duì)都能看到它。 作為建議，我將始終將原始HMW問題放在目標(biāo)/信號/指標(biāo)旁邊，以便每個(gè)人都可以跟蹤他們想回答的問題。

Your team which usually doesn’t care much for data just created the first team metrics. Which can go alongside your north star metrics or whichever primary metric you use. Try it out and let me know your results in the comments. Remember, you’re one step closer to a high performing team.

通常對數(shù)據(jù)不太在乎的團(tuán)隊(duì)只是創(chuàng)建了第一個(gè)團(tuán)隊(duì)指標(biāo)。 哪個(gè)可以與您的北極星指標(biāo)一起使用，也可以與您使用的任何主要指標(biāo)一起使用。 嘗試一下，并在評論中告訴我您的結(jié)果。 請記住，您離高績效團(tuán)隊(duì)僅一步之遙。

翻譯自: https://medium.com/productschool/data-draw-up-a-workshop-to-get-your-team-to-love-data-fefe2f911d72

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