シャドーイング練習: How Anthropic uses Claude in Product Management - 動画で英語スピーキングを学ぶ
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37 文
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What excites me about being a product manager now is that I can move and iterate much faster.
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I can use Claude to test my product ideas before I even get anyone else in the loop.
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I can operate much more independently, which is extremely empowering.
4
Getting data as a product manager is like a pain point.
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Usually you have to ping a data science person to help you, or often product managers can write some kind of basic SQL themselves
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and will have to query a database that they don't know that much about.
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I started using
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Cloud Code pretty quickly, figured out that we could use it for data analysis workflows.
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Our data science team set up a BigQuery MCP, which essentially connected all of our BigQuery product data tables to Cloud Code.
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You don't need to know how to write SQL.
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You just need to be a human interpreter of that data and that result.
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So here I am in Cloud Code, and I want to show how you can use
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Cloud to access product data.
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Before I started this demo, I used Cloud to generate some synthetic product data that shows light mode versus dark mode usage on a product.
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I've said I want to explore the fraction of dark mode usage over the past three months.
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I'm going to tell it the data table to look for.
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So it just popped open this graph.
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This is like pretty impressive.
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It's done a whole bunch of stuff I didn't ask for, like add a seven day rolling average, add the overall average.
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The graph is nicer than what I would have put together if I had done this myself.
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Say I wanna iterate on this a little bit and take a look.
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Maybe we wanna look at light mode and dark mode usage by plan type.
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Can you actually plot it by plan type?
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It's asking me for permission to make edits, sure.
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And now we have a plot of the data by plan type.
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If I had to do this on my own, it would take me possibly hours, if not more.
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Another way that my team uses Claude is to help with generating evals.
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Evals are a way that we evaluate AI systems and AI products.
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Claude is really great at this, actually.
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So you can kind of just give Claude the situation and the product experience that you're trying to build.
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Maybe a couple example test cases and ask it to expand the option space of test cases.
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So really quickly you go from one or two examples to test to like 50 examples to test.
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My hope is that with Claude, product managers are able to spend more of their time on product strategy, customer conversations and decision making,
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and less time on coordination and operations.
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I would say it's like more than automation for me.
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Like it's things that I wouldn't have otherwise necessarily even been capable of doing independently.
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So it's actually like extending what I can accomplish on my own.
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このレッスンの語彙とスピーキングのポイント
このスピーキングレッスンは、動画「How Anthropic uses Claude in Product Management」を教材にしています。 繰り返し出てくる語は次のとおりです：product, Claude, Cloud, mode, test。 この動画には、シャドーイング用の文が37文、単語が510語あります。 音声の長さは2:53です。 話す速さは1分あたり約177語で、日常会話に近い自然なペースです。 英語の頻出3,000語に含まれる単語は81%だけなので、語彙は難しめです。
この動画の重要語彙
動画に出てくる覚えておきたい単語15語を、発音と意味つきで紹介します。
| 単語 | 発音 | 意味 |
|---|---|---|
| usage 名詞 | /ˈjuːsɪd͡ʒ/ | 使い方 |
| generate 動詞 | /ˈd͡ʒɛn.ə.ɹeɪt/ | 生む, 生み出す |
| independently 副詞 | /ˌɪndɪˈpɛndəntli/ | 独立して, 自立して |
| graph 名詞 | /ɡɹæf/ | グラフ, 図表 |
| impressive 形容詞 | /ɪmˈpɹɛsɪv/ | 印象的な |
| connect 動詞 | /kəˈnɛkt/ | 繋げる |
| expand 動詞 | /ɪkˈspænd/ | 広げる, 拡大する |
| versus | /ˈvɝsəs/ | 対, バーサス |
| database 名詞 | /ˈdeɪtəˌbeɪs/ | データベース |
| explore 動詞 | /ɪkˈsploɹ/ | 探検する |
| edit 動詞 | /ˈɛdɪt/ | 編集する |
| loop 名詞 | /luːp/ | ループ |
| demo 名詞 | /ˈdɛm.oʊ/ | デモ |
| evaluate 動詞 | /ɪˈvaljʊeɪt/ | 評する |
| fraction 名詞 | /ˈfɹæk.ʃən/ | 断片 |
注意したい発音
話し手はdon't, wanna, didn'tなど、短縮形や弱形を9回使っています。聞こえたとおりの短い形で発音しましょう。
- 「sh」と「zh」の音: essentially /ɪˈsɛnʃəli/, accomplish /əˈkɑm.plɪʃ/, fraction /ˈfɹæk.ʃən/, coordination /kəʊˌɔːdɪˈneɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/
- 長い単語（アクセントの位置に注意）: independently /ˌɪndɪˈpɛndəntli/, necessarily /ˌnɛs.əˈsɛɹ.ə.li/, essentially /ɪˈsɛnʃəli/, coordination /kəʊˌɔːdɪˈneɪʃən/, automation /ˌɔ.təˈmeɪ.ʃən/
日本語話者が苦手な音：
- /r/ と /l/ の区別 — /l/ は舌先を歯茎につけ、/r/ はどこにもつけない: necessarily /ˌnɛs.əˈsɛɹ.ə.li/, explore /ɪkˈsploɹ/
- /v/ — /b/ にならないように、上の歯を下唇に当てる: impressive /ɪmˈpɹɛsɪv/, versus /ˈvɝsəs/, evaluate /ɪˈvaljʊeɪt/, eval /ˈiː.væl/
- /f/ — 「フ」ではなく、上の歯と下唇で出す: graph /ɡɹæf/, fraction /ˈfɹæk.ʃən/, workflow /ˈwɝkfloʊ/
この動画での練習方法
- まず声を出さずに動画を最後まで聞き、知らない単語をメモします。
- まず0.75倍速で一文ずつシャドーイングし、慣れてきたら通常の速度に戻します。
- 自分の声を録音して元の音声と比べます。usage, generate, independentlyなどの単語に特に注意しましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。