Thina ngenyanga ezimbini ukwakha analytics self-serving. Ngemuva kwalokho ngibuyekazi abantu ngokuvamile abasebenzise. Ngingathanda ukuthi kungenzeka ukuthi lokhu kungenzeka. Akukwazi ukujabulela. Kuyinto i-Jira ticket. I-ticket wathi: "I-Dashboard ayikwazi ukusebenza." Ngithole ngokuvumelana ne-filter ebomvu noma i-data refresh ebomvu. Emuva, ngithole isitimela se-three-paragraph kusuka kumadokhumenti we-product expounding ukuthi i-Dashboard iye wathatha amaminithi angu-20 futhi akuyona akuyona ukuthi i-function ye-launch yaziwa ngempumelelo. I-dashboard isebenza ngokushesha. Wonke i-diagram iyatholakala. Wonke ama-filter wahlanganyela. I-data iyahlekile, oluthile, futhi i-modeled kahle. Ngiye ngitholile, futhi ngitholele. Ngiyazi ukuthi akuyona umbuzo yakhe. I-ticket etholakalayo emzimbeni emzimbeni. Ekugcineni, ngifuna ukwenza into engaziwa ngaphambi. Ngitholela omunye ibhokisi lethu etholakalayo kakhulu futhi ngitholela amabhizinisi amabili ezingu-5 ezinguquguquko ukusetshenziswa kwalo ucwaningo enhle. Hhayi i-demo. Hhayi i-training session. Isimo esiyingqayizivele esitholakalayo esitholakalayo esitholakalayo. Ukwakhiwa Umshini wokubacindezela umkhakha wethu wokubacindezela imikhiqizo. I-Digital Active Users, I-Function Adoption Rates, I-Retention Curves, ne-Handful of Income-Adjacent Metrics. I-Digital Looker yenzelwe ku-Looker, ifakwe kumamodeli we-dbt ebonakalayo, ifakwe ngamahora ngamahora amabili. Ngokusho wonke izinga lwezobuchwepheshe, i-Digital Engineer isebenza kahle. Ngitholile amabhizinisi amabili abalandeli le-dashboard ngokuvamile ngokuvumelana ne-usage logs ethu. Wonke amabhizinisi baye unemibuzo abalandeli ngokuvumelana. I-Product wabhala ukuthi umklamo wamanje we-onboarding wahlanganyela ukusebenza okuphumelela. I-Marketing wabhala ukuthi ama-channel eyenza abasebenzisi abanezingeni eliphezulu. I-Customer Success wabhala ukuthi ama-akhawunti abonisa ama-churn yokuqala. I-Sales yaziwa ukuthi imibuzo yokusebenzisa lihlanganisa ne-upsell readiness. I-Finance yaziwa ukuthi ukucubungula kwezimali ngamakhasimende ngamakhasimende iyahambisana nokukhula okuqhubekayo. I-Dashboard efanayo. I-Data efanayo. Amahhovisi amabili amabili kusuka ku-5 amabhizinisi amakhulu, konke okungenani. Ngithombe ngamunye amabhizinisi ukuba angakwazi ukujongana nabanye (noma ukujongana ne-video call) ngenkathi zitholela imibuzo yabo usebenzisa i-dashboard. Akukho ukuqeqeshwa, akukho izinzuzo. Ngingathanda kuphela. Ngitholele i-bias yam eduze. Ngitholile angu-3 kusuka ku-5 ukuze uthole okwenziwe. Ngitholile le dashboard nge-cross-functional usebenzisa emangalisayo. Ngitholile izifundo ze-context ku zonke i-chart. Ngitholile i-how-to-doc encinane ukuthi umuntu, njengoba kubonakala, awutholile. Okufakiwe ngokwenene imikhiqizo I-team ye-product wathatha amaminithi ezimbini ezidlulile ukuhlangabezana ne-onboarding cohort yabo. I-dashboard iye iye i-date filter kanye ne-feature filter, kodwa ayikho i-cohort filter. Zidinga ukuguqula abasebenzisi abalandeli ngaphambi kwe-redesign nabasebenzisi abalandeli emva kwe-dashboard. I-dashboard ayikwazi ukwenza lokhu ngaphandle kwe- workaround. I-PM wahlala i-SQL editor embhedeni elilodwa. Wabhala isibuyekezo ukukhuthaza i-ID ye-username ngosuku lokufaka, bese wabelane ku-filter ye-dashboard. I-filter iqukethe i-100-value limit. I-cohort yayo iqukethe ama-username angu-4200. Yena wahlala futhi Slacked me, wabhala ukunciphisa ikhasi data. Isikhathi esigcwele ku-dashboard: amaminithi angu-14. Isisombululo esekelwe ku-dashboard: akukho. Ukuhweba I-Marketing yaba ingozi enhle kakhulu ngenxa yokufumana okwenziwe ngekhwalithi. I-Dashboard ibonisa ukuchithwa kwe-akquisition channel. Bona ukuthi i-pay social yenza abasebenzisi amasha kakhulu. Bona ukuthi i-pay social iyona i-channel yayo enhle kakhulu futhi waqala ukucubungula isixazululo se-budget reallocation. Indawo: I-dashboard ibonisa umthamo, akuyona i-value. I-Payed social ine-user eningi kodwa i-retention rate eningi (eyenziwa ku-tab eyahlukile; akuyona-click) kanye ne-medium contract value eningi (eyenziwa ku-dashboard eyahlukile ngokuphelele). I-channel yayo ye-"best" yindawo yayo eningi ngenyanga eyahlukile ngalinye. Thola ukhetho. Kuyinto engcono. Ngithole ngemuva kwe-session. Abanikezele kodwa futhi ngempumelelo. "Kungako akuyona i-dashboard kuphela inikeza ukuthi i-channel iyona engcono?" umntu wabhala. Ngokuba "best" inikeza into eyahlukile kumakhompyutha wonke. I-dashboard ibonisa ama-metric. Akubonisa imibuzo. Kuyinto i-design philosophy etholakalayo. Ukuphumelela kwamakhasimende I-Customer Success yinkampani ebonakalayo, futhi kuncike ukubuyekeza kanjani. I-leadership yabantu abadala eminyakeni eminyakeni emzimbeni yokwakha imodeli emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni emzimbeni. Ukulandelela i-dashboard, i-filtered kwi-akhawunti zayo, i-checked i-charts ezintathu ngokulandelana, futhi wathi, "Yep, lezi amakhawunti ezine zihlanganisa izivakashi ngeveki." I-Total Time: amaminithi ezingu-6. I-dashboard usebenza ngenxa yayo ngoba yaziwa kakade ukuthi ukhangela futhi indlela yokufunda i-signals ngokubambisana. Yena ukuguqulwa, futhi akuyona kuphela. Ukuhweba Sales wahlala amaminithi amabili angu-12 ku-dashboard bese wabhala imibuzo ukuthi ngihambe: "Ungayifaka ukuthi akuyona ama-accounts?" Wathanda isithombe esilinganiselwe. I-dashboard ibonise izinga kanye nemingcele. Bhalisa izinzuzo zokusetshenziswa ngamakhasimende, kodwa ukuguqulwa kwe- "ukusetshenziswa kwesi-akhawunti yandisa i-40% ngoMsombuluko edlule" ku- "isi-akhawunti iyahlekile ukuxhumana kwe-up-sell" kuncike isixhumanisi esilinganiselwe ukuthi i-dashboard ayikho. Ayikwazi ukuhlaziywa kwe-akhawunti, isigaba se-plan esebenzayo, noma ukuba i-akhawunti iyatholakala. I-representative ye-sales yaziwa ngokufanelekileyo mayelana nawe. I-dashboard yaziwa "ukudlala", okuyinto ibhizinisi elilinganiselwe "ukukukwazi ukufaka okuhle." Izimali I-Finance ayisebenzisa i-dashboard. Ziye zithunyelwe idatha esifundeni ku-tabula ngaphakathi kwezinyanga ezimbini zokuqala. Lapho ngitholele ukuthi kungenxa, impendulo yinto elula: "Umuva ukwakha imodeli, akuyona i-chart." Ingabe ufuna ukushumeka kokuthunyelwe kwebhizinisi? Ingabe ufuna ukushumeka kokuthunyelwe kwebhizinisi? Ngicabanga lokhu njenge-dashboard. It is a usage case mismatch. Kodwa kunikeza umbuzo mayelana noma thina ukwakha lokhu iqembu isampula isikhwama kunoma isikhwama isikhwama. Thina akufunda. Thina siphinde wonke umuntu ufuna isikhwama. Ukubalwa Scorecard 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Team 
 Found relevant data? 
 Answered their question? 
 Made a decision? 
 Time spent 
 
 
 
 
 
 
 Product 
 Partially 
 No 
 No 
 14 min 
 
 
 
 
 
 
 Marketing 
 Yes 
 Yes (incorrectly) 
 Yes (wrong one) 
 18 min 
 
 
 
 
 
 
 Customer Success 
 Yes 
 Yes 
 Yes 
 6 min 
 
 
 
 
 
 
 Sales 
 Partially 
 No 
 No 
 12 min 
 
 
 
 
 
 
 Finance 
 Yes 
 N/A (wrong format) 
 No 
 2 min imikhiqizo Okunye Ngaphandle Ngaphandle Imininingwane 14 Ukuhweba Yini Yes (ngokungabikho) Yes (I-Wrong One) 18 imizuzu Ukuphumelela kwamakhasimende Yini Yini Yini 6 imizuzu Ukuhweba Okunye Ngaphandle Ngaphandle Imininingwane 12 Izimali Yini I-N / A (i-format ebuthile) Ngaphandle 2 imizuzu Yini Ngithole Ngingathanda Ngingathanda Umphumela we-dangerous is a confident wrong answer. Ukuphendula kwe-marketing iholide kakhulu kunazo zonke. I-dashboard ibonise idatha. Bhalisa idatha. Bhalisa. Umphumela wahlukile ngoba i-dashboard ibonise umbhalo ongaphakeme, futhi akuyona akuyona ingozi yokufuna. I-dashboard enikezela impendulo engaphakeme, ungathandeki, iyona engaphakeme kunoma i-dashboard enikezela engaphakeme. Okungenani i-"I don't know" akuyona ukuguqulwa kwebhizinisi. Umbala phakathi kwama-metric ne-decisions kuyinto enhle. Wonke iqembu wabhala imibuzo. Akukho elinye imibuzo ingatholile nge-chart eyodwa. Imibuzo kuncike ukuhlanganisa ama-signals amabili, ukusetshenziswa kwinkontekst yebhizinisi, nokwenza ukubuyekeza. I-Dashboards ibonisa i-metric. Ukuguqulwa kwama-metrics ku-decisions ivela ngokuphelele emzimbeni yabantu, futhi ama-dashboards abanikeze inqubo yayo yokuguqulwa okungenani. I-Domain Expertise iyona i-filter efanelekayo. I-Customer Success iyatholakala ngenxa ye-lead's experience, akuyona ngenxa ye-design ye-dashboard. Uyazi ukuthi ukhangela. Wonke umuntu wahlola, ekhohleni ukufinyelela okungcono. I-Self-Serve analytics inesibopho i-domain expertise okuyinto amaningi amabhizinisi asekelwe. Sithumela ithuluzi ngaphambi kokufunda ukufundisa ukufundisa. Nginguye awubuyekeza umbhalo. Ngithole izifundo ze-context. Ngithole isikhokelo se-how-to. Ngithole izifundo ze-tooltip ku zonke i-metric. Izixhumi ze-usage zibonisa ukuthi abantu angu-zero (hhayi abafutshane, engu-zero) zikhokele izifundo ze-metric eminyakeni edlule. Abantu awubuyekeza izifundo ze-inline ku-dashboards ngenxa yokufunda izimo ze-services. Ziye zithole ukwenza lokho, akufunda lokho. Iziqu ze-export to spreadsheets akuyona ngokugqithisile. I-finance's instinct to export was the most rational response to their actual need. We treat spreadsheet exports as a failure of our BI layer. Mhlawumbe kuyinto ingcindezi ukuthi ezinye abasebenzisi ufuna idatha esebenzayo, ezihambisanayo kunokuba i-visualizations ezihambayo. Ukwakhiwa kwe-dashboard for someone who needs a spreadsheet is like building a report for someone who needs a conversation. "I-self-serving" iyona-spectrum, akuyona i-switch. I-Customer Success iyona-self-serving. I-product ingaba i-self-serving nge-cohort filter engcono. I-Marketing inesidingo i-garderrails. I-Sales inesidingo i-engine ye-recommendation, futhi akuyona i-dashboard. I-Finance inesidingo idatha ebomvu nge-scenario modeling. Sitholela bonke "i-self-serving analytics abasebenzisi" futhi wabelane bonke into efanayo. Kuyinto isixazululo se-government eyenziwe njenge-decision ye-product. Yini Ngibhalisa Ngemva I rebuilt i dashboard. Kodwa rebuild akuyona ukuthi ungathanda. Ngiye ngengeza amakhadi ezingaphezu. Ngiye ngengeza engaphansi. Ngithole amabhokisi ezintathu futhi ngihambisana isikhwama esihlalweni omunye: "I-metric yinto enhle, enhle, noma enhle?" Ngiye ngengeza ukucubungula okuhlobene ukuthi kubhalwe amabhokisi emhlophe, emhlophe, noma emhlophe ngokuvumelana nezingcele ezijwayelekile ezijwayelekile. Nginguquguqukayo ukuthi kungcono kanjani kulula ngoku. Kubona kanjani into enhle ye-analytic. Kodwa kusetshenziselwa. Ukuze Product, ngifake isixhobo esilinganiso se-cohort eyahlukile. Kuyinto enhle. Kuyinto i-Parameterized Looker Explore nge-two date pickers kanye ne-delta calculation. Kuyinto into eyodwa. Ukuze Marketing, Ngithunyelwe ukubuyekezwa okuqukethwe okuhlanganise umthamo, ukugcinwa, kanye nomthamo i-contract ku-single channel effectiveness metric. Bona bakwazi ukubona izinhlelo, kodwa ukubuyekezwa okuqukethwe okuqukethwe ngokuvumelana ne-channel engcono ngalinye-dollar eyenziwe. Ukuze Sales, ngithole ku-dashboards ngokugcwele. Ngithole isithombe se-akhawunti ebonakalayo esebenza ngeviki, i-akhawunti ye-upsell i-signals, futhi ivela ku-channel ye-Slack. Kufuneka isikhathi esincane yokwakha kunesithombe se-dashboard eyenza. Ukuze Finance, ngifake isampula ye-Google Sheet enikeza idatha embalwa ngokusebenzisa i-Looker API. Abanikeze isampula embalwa embalwa embalwa ngaphandle kokudluliselwa ngesandla. Umthamo we-common thread: Ngithole ukuhlangabezana ne-"What metric does this team need?" futhi uqala ukuhlangabezana ne-"What decision does this team make repeatedly, and what is the shortest path from data to that decision?" I-What I'd Tell My Past Self Ukwakhiwa isixazululo, hhayi idatha. Uma ungenza isixazululo esifundeni esifundeni esifundeni, uye ukwakhiwa i-museum exhibition. People will visit once, knock politely, and never come back. Sawubona umuntu usebenzisa ibhodi yakho ngaphambi kokuthumela. Hhayi i-demo yama-stakeholder lapho zihlanganisa. Isikhathi esisodwa sokusebenza lapho zihlanganisa ukujabulela imibuzo esithakazelisayo. Uyakwazi ngaphezulu kwama-20 imizuzu yokuhlola kunama-month ye-requirement gathering. I-BI engcono kunoma ibhodi elawulwa. Ngezinye izikhathi i-Slack alarm. Ngezinye izikhathi ibhodi elawulwa nge-data live. Ngezinye izikhathi ibhodi elawulwa. I-medium kufanele lihlobene ne-decision pattern, futhi akuyona ngokugcwele. Futhi uma izibuyekezo zakho zokusetshenziswa zibonisa ukuthi abantu abala ibhodi yakho futhi baye eminyakeni ezimbili, ibhodi akuyona ngokushesha. It akuyona umbuzo yabo. I-business intelligence ingxenye enhle yokwakha imodeli yedatha. Kuyinto ukubuyekeza ukuthi abantu ngokwenene ngokwenza lapho baqala umsebenzi yakho.

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I Gave 5 Teams I-Dashboard Enye - I-Only One Made A Decision With It

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