<p style="text-align:justify;">이런 분들께 이 글을 추천합니다. 의견과 아이디어가 너무 많아 고민하는 분, 효율적으로 의사 결정을 내리고 싶은 분. 이 중 하나라도 해당된다면 재밌게 읽을 수 있습니다. 오늘은 아이디어의 우선순위를 매기는 방법에 대해 살펴보겠습니다.</p><div class="page-break" style="page-break-after:always;"><span style="display:none;"> </span></div><h3 style="text-align:justify;"><strong>많은 의견이 꼭 좋은 것은 아니다.</strong></h3><blockquote><p style="text-align:justify;">우선순위가 필요한 이유</p></blockquote><p style="text-align:justify;">스타트업에선 수평적 관계를 중요시 여기며 모든 구성원이 동일한 권한을 갖는다. 이러한 환경 덕분에 스타트업 플레이어는 자신의 의견과 아이디어를 주저 없이 내던지고 아이디에이션과 논쟁이 활발히 진행된다. 많은 의견과 아이디어를 모두 반영하면 좋지만 <strong>스타트업은 자원이 한정됐으므로 가장 핵심적이고 중요한 것을 선택해야만 한다. </strong></p><p style="text-align:justify;"> </p><p style="text-align:justify;"><strong>동일한 권한은 발산 과정을 장려하지만 그만큼 수렴 과정의 난도를 높인다.</strong> 만약 아이디어가 2개만 있다면 이 둘을 비교해 더 좋은 걸 선택하면 된다. 하지만 아이디어가 10개, 20개라면? 비교에 드는 시간과 노력이 급격히 증가한다. 또한 비교에 많은 시간을 쏟는다면 자칫 액션의 적절한 타이밍을 놓칠 수 있다. 따라서 <strong>우선순위를 기준으로 빠르게 의사결정을 내려야지 비효율적인 딜레이를 줄일 수 있다.</strong> 우선순위가 낮은 의견과 아이디어는 과감히 쳐내고 높은 것에만 집중해야지 자원을 효율적으로 쓸 수 있다. </p><p style="text-align:justify;"> </p><figure class="image image_resized" style="width:80%;"><img src="https://yozm.wishket.com/media/news/1088/image001.png" alt="우선순위 의사결정"><figcaption>너무 많아도 문제다. (출처: 드라마 응답하라 1988)</figcaption></figure><p style="text-align:justify;"> </p><blockquote><p style="text-align:justify;">판단은 옳은데, 판단 기준이 다르다?</p></blockquote><p style="text-align:justify;">서로 다른 의견과 아이디어의 비교가 어려운 이유는 각자의 판단이 타당하기 때문이다. 이게 무슨 뚱딴지 같은 소리일까? 판단이 타당한데 어렵다니? 바로, <strong>비교의 대상이 옳은 것과 틀린 것이 아니라, 옳은 것과 옳은 것이기 때문이다.</strong></p><p style="text-align:justify;"> </p><p style="text-align:justify;"><strong>우리는 특정 대상을 판단하는데 '핵심 기준'을 적용한다. 만약 대상이 이 기준에 부합할수록 대상의 우선 순위가 높아진다.</strong> 예를 들어, 커머스 플랫폼의 프로덕트 팀원끼리 '제품 정보를 어떻게 전달해야 고객에게 더 좋은 가치를 전달할 수 있을까?'를 이야기하고 있다고 해보자. 이때, '고객 경험'을 핵심 기준으로 삼은 사람은 "스토리텔링을 적극적으로 살려서 정보를 전달합시다!"라고 말할 수 있다. 반면, '합리적 가격'을 핵심 기준으로 두는 사람은 "제품의 가격과 평점을 우선적으로 보여줍시다!"라고 말할 수 있다. 이 둘 중에서 어떤 아이디어가 더 높은 우선순위를 가질까? 둘 다 옳은 답이기에 선뜻 판단을 내리기 어렵다. 사실 전자는 29cm, 후자는 쿠팡이다. 이처럼, <strong>각자의 판단 기준이 다를 뿐 판단은 모두 타당하다. 판단 기준이 다르면 대상을 바라보는 결이 달라져서 서로 다른 결론에 이르게 된다. </strong></p><p style="text-align:justify;"> </p><figure class="image image_resized" style="width:80%;"><img src="https://yozm.wishket.com/media/news/1088/image002.png" alt="판단 기준"><figcaption><span style="color:gray;">민초와 반민초의 싸움도 판단 기준이 다를 뿐. 물론 민초는 맛있다.</span></figcaption></figure><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>'동일한 판단 기준'이 핵심이다.</strong></h3><p style="text-align:justify;">같은 우선순위를 매기기 힘든 이유가 각자의 판단 기준이 달라서 그런 거라면 다음의 질문을 던질 수 있다. <strong>판단 기준이 다른 게 문제라면 모두가 동일한 판단 기준을 적용하면 되지 않을까?</strong> 판단 기준이 같다면 모두가 동일한 결로 현상과 상황을 분석하고, 동일한 판단에 이를 수 있다. 미션, 비전, 핵심 가치 등을 정하는 데 오랜 시간을 쏟는 이유도 이 때문이다. <strong>목표, 핵심 가치 등은 논쟁이 있을 때마다 공통의 판단 기준이 돼서 빠른 결론에 도달하게 만든다.</strong> 프로젝트를 리드할 때, 서로 다른 의견으로 논쟁이 발생하는 경우가 많다. 이럴 때마다 비효율적인 논쟁을 줄이고자 팀원들에게 아래의 질문을 던진다.</p><p style="text-align:justify;"> </p><blockquote><p style="text-align:justify;">목표와 얼라인 되는가?</p></blockquote><p style="text-align:justify;">목표는 그 자체로 가장 직관적이고 명료한 기준이다. <strong>목표는 '현재의 우리가 어떤 일을 통해 도달해야 하는 종착점'과 같다.</strong> 뚜렷한 종착점이 있다면 설령 모르는 길을 나서도 방향을 유추해가며 나아갈 수 있다. 미션, 비전 등도 목표의 일환으로 볼 수 있다. 어떤 의견이 나왔을 때 '이 의견이 우리의 목표와 얼라인 되는가?'를 생각해보고, 만약 그렇지 않다고 판단되면 과감히 배제해야 한다. 목표와 얼라인 되지 않는 의견은 오히려 불필요한 논쟁을 일으킨다. </p><p style="text-align:justify;"> </p><figure class="image image_resized" style="width:60%;"><img src="https://yozm.wishket.com/media/news/1088/image003.png" alt="목표와 얼라인 되는가"><figcaption>목표와 얼라인 되지 않으면, 관심도 주지 말자!</figcaption></figure><p style="text-align:justify;"> </p><blockquote><p style="text-align:justify;">핵심 가치와 통하는가?</p></blockquote><p style="text-align:justify;">목표뿐만 아니라, 핵심 가치도 결정에 많은 영향을 내린다. <strong>목표가 '팀이 미래에 도달할 곳'이라면, 핵심 가치는 '팀이 현재 추구하는 것'과 관련 있다.</strong> 아래는 예전에 진행한 프로젝트에서 정한 핵심 가치다. '안 해본 일에 도전하고 만족하는 수준까지 성장하자'가 우리의 핵심 가치였고, '안 해본 일인가?'와 '성장할 수 있는가?'를 기준으로 각자가 어떤 일을 리드할지 결정했다.</p><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/1088/image004.png" alt="핵심 가치"></figure><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><h2 style="text-align:justify;"><strong>누구나 써보는 프레임워크</strong></h2><p style="text-align:justify;">단순히 질문을 던지는 것 말고도, <strong>논리와 생각을 체계화시켜주는 프레임워크</strong>를 사용해도 좋다. 이 프레임워크를 사용하면, 서로 다른 의견과 아이디어의 우선순위를 빠르게 매길 수 있다.</p><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>1. 모스코우(MoSCoW)</strong></h3><blockquote><p style="text-align:justify;">반드시 있어야 하는 건 뭘까?</p></blockquote><p style="text-align:justify;"><strong>모스코우는 각 요소를 4가지로 분류해 서열화해서 우선순위를 매기는 방식</strong>이다. 모스코우의 M, S, C, W는 4가지 우선순위의 약자이다.</p><figure class="table" style="text-align:justify;"><table><tbody><tr><td><p style="margin-left:20px;">M: Must have </p><p style="margin-left:20px;">S: Should have</p><p style="margin-left:20px;">C: Could have</p><p style="margin-left:20px;">W: Won't have</p></td></tr></tbody></table></figure><figure class="image image_resized" style="width:47.54%;"><img src="https://yozm.wishket.com/media/news/1088/image006.png" alt="모스코우 MoSCoW"></figure><p style="text-align:justify;"> </p><p style="text-align:justify;">Must have는 '반드시 있어야 만' 하는 요소를 뜻하는데, 이 요소가 없거나 하지 않는다면 모든 게 무용지물인 것이다. Sholud have는 필수적인 건 아니지만 있으면 큰 가치를 제공하는 요소이고, Colud have는 어느 정도 여유가 있으면 하기 좋은 요소이다. 마지막으로 Won't have는 이번에 하지 않아도 괜찮은 요소를 뜻한다. 여기서 버린다는 의미가 아니라 다음에 가져감을 뜻한다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;">예를 들어보자. 프로덕트 팀에서 어떤 기능을 구현할지 이야기를 나누고 있다. A, B, C, D 기능이 나왔는데, 팀에 주어진 자원은 한정돼서 일부 기능밖에 구현할 수가 없다. 논의 끝에 B 기능이 없다면 프로덕트 자체가 무용지물이 된다고 판단했고, A 기능은 필요하긴 하지만 당장 없어도 되는 기능이라 결론 내렸다. 여기서 B 기능은 Must have 요소고, A 기능은 Won't have 요소다. 따라서, B 기능을 반드시 구현하는 결론에 이를 수 있다. 동시에 B 기능을 구현해도 리소스가 남을 것이라 판단된다면, A 기능은 선택지에 제외하고 C와 D 기능 중에서 하나를 가져가면 된다.</p><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/1088/image007.png" alt="모스코우 MoSCoW"></figure><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>2. 카노</strong></h3><blockquote><p style="text-align:justify;">어떤 걸 '잘' 구현하면, 고객은 '더' 만족할까?</p></blockquote><p style="text-align:justify;">모스코우와 비슷하게 각 요소를 4가지로 분류한다. 모스코우와 다르게 <strong>충족 정도에 따른 만족도를 기준으로 판단한다. 얼마나 충족할 수 있는지를 고려해 서열을 매긴다.</strong></p><figure class="table" style="text-align:justify;"><table><tbody><tr><td><p style="margin-left:10.0pt;">M: Must-be</p><p style="margin-left:10.0pt;">P: Performance</p><p style="margin-left:10.0pt;">A: Attractive</p><p style="margin-left:10.0pt;">I: Indifferent</p></td></tr></tbody></table></figure><figure class="image image_resized" style="width:68.29%;"><img src="https://yozm.wishket.com/media/news/1088/image009.png" alt="카노모델 Kano"></figure><p style="text-align:justify;">Must-be는 '반드시 있어야 만'하는 요소로 이게 없다면 고객은 매우 불만족한다. Performance는 충족 정도에 비례해 고객 만족도가 변화하는 요소이고, Attractive는 없어도 큰 상관은 없지만 있으면 고객이 매우 만족하는 요소이다. 마지막으로, Indifferent는 고객 만족에 어떠한 영향도 주지 않는 요소를 뜻한다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>3. ICE</strong></h3><blockquote><p style="text-align:justify;">방향과 속력을 점수로 평가하자!</p></blockquote><p style="text-align:justify;">ICE는 <strong>3가지 점수를 통해 대상을 판단하는 프레임 워크</strong>다. 각 항목마다 최소 1점에서 최대 10점까지 점수를 매긴다. Impact 점수와 Confidence 점수를 곱하고 나서, Ease를 나눈 결과 값으로 평가한다.</p><figure class="table" style="text-align:justify;"><table><tbody><tr><td><p style="margin-left:10.0pt;">I: Impact</p><p style="margin-left:10.0pt;">C: Confidence</p><p style="margin-left:10.0pt;">E: Ease</p></td></tr></tbody></table></figure><figure class="image image_resized" style="width:60%;"><img src="https://yozm.wishket.com/media/news/1088/image010.png" alt="프레임워크 ICE"></figure><p style="text-align:justify;"> </p><p style="text-align:justify;">각 항목의 점수를 매기기 전에 다음과 같은 질문을 던진다. Impact는 '회사의 목표, KPI 등에 얼마나 영향을 주는가?', Confidence는 '성공할 확신을 얼마나 갖고 있는가?', 마지막으로 Ease는 '이걸 하는 데 얼마나 오래 걸리는가?'에 대한 답으로 점수를 매긴다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;"><strong>ICE는 목표 달성 임팩트를 알려주는 지표</strong>이기도 하다. 모든 일은 팀과 회사의 목표와 얼라인 돼야 한다. ICE는 이 부분을 Impact로 평가한다. Impact가 방향을 보여준다면 Confidence와 Ease는 속력을 보여준다. 목표와 얼라인 되는 일을 한다고 해도 낮은 퍼포먼스를 보이면 아무런 소용이 없다. 여기서 퍼포먼스는 '결과물/리소스'를 뜻한다. 가령, 10의 결과물을 만드는 데 일주일이 필요한 사람이 있는 반면 하루밖에 안 걸리는 사람도 있다. 우리는 후자의 사람이 더 높은 퍼포먼스를 보였다고 말한다. 이처럼 모든 액션은 자원을 얼마나 썼는지도 고려해야 하는데, 이 부분을 ICE는 Confidence와 Ease로 판단한다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;"><strong>ICE 모델은 앞선 모스코우, 카노 모델과 다르게 정량적 지표</strong>를 사용한다. 서로 다른 의견과 아이디어를 1~10점의 점수로 쉽게 비교할 수 있고, 빠른 의견 수렴과 의사결정을 내릴 수 있다. </p><figure class="image"><img src="data:image/png;base64,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"></figure><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>4. OKR</strong></h3><blockquote><p style="text-align:justify;">KR 목표 수치에 도달하려면 무엇을 해야 할까?</p></blockquote><p style="text-align:justify;">OKR은 Objective(목표)와 Key Result(KR, 핵심 결과)를 합친 말이다.</p><figure class="table" style="text-align:justify;"><table><tbody><tr><td><p style="margin-left:10.0pt;">O: Objective</p><p style="margin-left:10.0pt;">KR: Key Result</p></td></tr></tbody></table></figure><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/1088/image013.png" alt="OKR"></figure><p style="text-align:justify;">목표는 일종의 종착점과 같은데 대게 정성적, 추상적 문구로 표현된다. 그러다 보니 목표 달성 여부를 객관적으로 평가하기 힘들다. 예를 들어, '고객에게 행복을 전달하는 프로덕트를 만든다'를 목표로 설정했다고 해보자. 이때, 고객이 행복을 느끼고 있는지 어떻게 객관적 판단할 수 있을까? 따라서 <strong>목표 달성 여부를 정량 수치로 구성된 핵심 결과(KR)를 통해 판단한다.</strong> 만약 KR 수치가 목표 수치에 도달했다면, Objective를 달성했다고 판단한다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;"><strong>KR의 현재 수치와 목표 수치를 비교해 우선순위를 평가한다.</strong>예를 들어, 현재 팀의 KR은 '유저 리텐션 12% 달성'이라고 해보자. 이다. A와 B 액션 중에서 무엇을 할지 고민 중인데, 이때 '유저 리텐션을 더 높일 수 있는 액션이 뭘까?'를 물어보고 우선순위를 내릴 수 있다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;"><참고 자료></p><p style="text-align:justify;"><a href="http://pmikorea.kr/?p=2381">[8월 칼럼] 요구사항 우선순위 도출 - PMI South Korea</a></p><p style="text-align:justify;">브런치: <a href="https://brunch.co.kr/@ywkim36/42">10화 PM수첩: 꼭 알아야 할 4가지 우선 순위 정하기 기법</a></p><p style="text-align:justify;">브런치: <a href="https://brunch.co.kr/@jiyouk/2">ICE 프레임워크: 빠른 실험을 돌리는 방법</a></p><p style="text-align:justify;">브런치: <a href="https://brunch.co.kr/@uxdaysseoul/54">카노 모델</a></p><p style="text-align:justify;"> </p><p style="text-align:center;"><span style="color:#999999;">©️요즘IT의 모든 콘텐츠는 저작권법의 보호를 받는 바, 무단 전재와 복사, 배포 등을 금합니다.</span></p>