Magadzirirwo Emibvunzo: 7 Mazano Akakosha eKuburitsa Yakavimbika Data

Kusakwana kwegwaro remibvunzo dhizaini inodhura masangano mamirioni pagore munguva yakapambadzwa uye sarudzo dzisina kunaka. Tsvagiridzo kubva kuHarvard's Chirongwa paSurvey Tsvagiridzo inoratidza kuti ongororo dzakavakwa zvakashata hadzingotadzi kuunganidza ruzivo rwakakosha-inoshingairira kutsausa vanoita sarudzo nemhinduro dzakarerekera, dzisina kukwana, kana dzisiridzo.

Kunyangwe iwe uri nyanzvi yeHR yekuyera kubatanidzwa kwevashandi, maneja wechigadzirwa ari kuunganidza mhinduro yemushandisi, muongorori ari kuita zvidzidzo zvedzidzo, kana mudzidzisi ari kuongorora zvakabuda pakudzidza, mibvunzo yekugadzira mibvunzo yauchawana pano inotsigirwa nemakumi mana+ emakore ekutsvagisa simba kubva kumasangano akaita sePew Research Center, Imperial College London, uye vanotungamira nzira dzekuongorora.

Izvi hazvisi zvekugadzira "zvakanaka zvakakwana" ongororo. Izvi ndezvekugadzira mibvunzo inopindurwa inozadza chaizvo, inobvisa kusarurana kwakajairika, uye inopa hungwaru hunoshanda hwaunogona kuvimba.

Zviri Mukati

Nei Mibvunzo Yakawanda Inokundikana (Uye Yako Haufanire Kuita)

Zvinoenderana netsvagiridzo yeongororo kubva kuPew Research Center, kukwidziridzwa kwemibvunzo hakusi hunyanzvi — isainzi. Zvakadaro masangano mazhinji anosvika pakuongorora dhizaini intuitively, zvichikonzera kukundikana kutatu kwakakosha:

• Mhinduro bias: Mibvunzo inotungamira vanopindura vasingadi kune dzimwe mhinduro, zvichiita kuti data ishaye basa.
• Mutoro wemupinduri: Ongororo dzinonzwa dzakaoma, dzinotora nguva, kana kuodza mwoyo zvinotungamira kumatengo akaderera ekupedza uye mhinduro dzisina kunaka.
• Kuyera kukanganisa: Mibvunzo isina kujeka inoreva kuti vanopindura vanoidudzira zvakasiyana, zvichiita kuti data rako risagone kuongorora zvine musoro.

Mashoko akanaka? Tsvagiridzo kubva kuImperial College London uye mamwe masangano anotungamira yakaona misimboti, inodzokororwa inobvisa aya matambudziko. Vatevere, uye mhinduro dzemibvunzo yako inogona kuwedzera ne40-60% uku ichivandudza zvakanyanya kunaka kwedata.

Husere Husingataudzane Hunhu hweMibvunzo yeUnyanzvi

Usati wanyura mukusimudzirwa kwemubvunzo, ita shuwa kuti rondedzero yako yemibvunzo inogutsa uhwu humbowo-hwakavakirwa maitiro:

1. Crystal kujeka: Vanopindura vanonyatsonzwisisa zvauri kubvunza. Ambiguity muvengi we data chaiyo.
2. Strategic kupfupika: Muchidimbu pasina kupira mamiriro. Tsvagiridzo yeHarvard inoratidza ongororo yemaminetsi gumi inowana 25% yepamusoro kupedzwa pane makumi maviri-maminetsi shanduro.
3. Laser chaiyo: Mibvunzo yakajairika inopa mhinduro dzisina kujeka. "Wagutsikana sei?" haana simba. "Wagutsikana sei nenguva yekupindura kune tikiti rako rekupedzisira rekutsigira?" ane simba.
4. Ruthless kusarerekera divi rimwe chete: Bvisa mutauro unotungamira. "Haubvumi here kuti chigadzirwa chedu chakanaka?" inosuma kusarura. "Ungaite sei chigadzirwa chedu?" hazviite.
5. Chinangwa chakakodzera: Mubvunzo wega wega unofanirwa kutarisa chinangwa chekutsvagisa. Kana usingakwanise kutsanangura kuti sei uchikumbira, bvisa.
6. Kuyerera zvine musoro: Boka mibvunzo ine chekuita pamwe chete. Enda kubva kune zvakajairika kuenda kune chaiyo. Isa mibvunzo yakaoma yedemographic kumagumo.
7. Kuchengetedzwa kwepfungwa: Panyaya dzinonetsa, chengetedza kusazivikanwa uye kuvanzika. Taura zvakajeka matanho ekudzivirira data (GDPR kutevedza nyaya).
8. Mhinduro isingashande: Ita kuti mhinduro ive intuitive. Shandisa maitiro ekuona, nzvimbo chena, uye akajeka mafomati ekupindura anoshanda zvisina musono pamidziyo yese.

Iyo Inomwe-Nhanho Tsvagiridzo-Backed Questionnaire Dhizaini Maitirwo

Danho 1: Tsanangura Zvinangwa Nekuvhiya Kwazvo

Zvinangwa zvisina kujeka zvinoburitsa mibvunzo isina basa. "Nzwisisa kugutsikana kwevatengi" yakakura kwazvo. Pane kudaro: "Yera NPS, tarisa nzvimbo nhatu dzepamusoro dzekupokana mukukwira, uye tarisa mukana wekuvandudza pakati pevatengi vemabhizinesi."

Framework yekumisa chinangwa: Rondedzera rudzi rwako rwekutsvagisa (yekuongorora, inotsanangura, inotsanangura, kana kufungidzira). Nyatsotaura mashoko chaiwo anodiwa. Tsanangura nhamba yaunonangwa nemazvo. Ita shuwa kuti zvinangwa zvinotungamira zvinoyerwa, kwete maitiro.

Nhanho 2: Gadzira Mibvunzo Inobvisa Cognitive Bias

Tsvagiridzo yeImperial College inoratidza kuti mafomati ekupindura anobvumirana-asingabvumirani ari pakati pe "nzira dzakashata dzekupa zvinhu" nekuti dzinounza kubvumirana - maitiro evanopindura kubvumirana zvisinei nezviri mukati. Ichi chikanganiso chimwe chete chinogona kukanganisa dataset yako yese.

Humbowo-hwakavakirwa mubvunzo dhizaini nheyo:

• Mazwi zvinhu semibvunzo, kwete zvirevo: "Timu yedu yerutsigiro yakabatsira sei?" outperforms "Boka redu rekutsigira raibatsira (kubvumirana / kusabvumirana)."
• Shandisa zvikero zvine mazwi: Nyora mhinduro yega yega ("Haitombobatsiri, Inobatsira zvishoma, Inobatsira zvine mwero, Inobatsira zvikuru, Inobatsira Zvakanyanya") pane kungogumira. Izvi zvinoderedza kuyerwa kukanganisa.
• Dzivisa mibvunzo miviri-miviri: "Munofara sei uye makapfimbwa?" inobvunza zvinhu zviviri. Vaparadzanise.
• Shandisa mafomati emibvunzo akakodzera: Yakavharwa-yakapera yehuwandu hwedata (kuongororwa kuri nyore). Yakavhurika-yakapera kune yemhando yekunzwisisa (yakapfuma mamiriro). Likert zviyero zvemafungiro (5-7 points inokurudzirwa).

Danho rechitatu: Fomati yeVisual Hierarchy uye Kuwanika

Tsvagiridzo inoratidza kuti dhizaini yekuona inokanganisa zvakananga kunaka kwekupindura. Mafomati asina kunaka anowedzera hunyanzvi hwekuziva, zvichiita kuti vanopindura vagutsikane-kupa mhinduro dzemhando yakaderera kuti ungopedza.

Nhungamiro dzakakosha dzemafomati:

• Yakaenzana kuona nzvimbo: Chengetedza nhambwe dzakaenzana pakati pezvikero kuti usimbise kuenzana kwemafungiro uye kuderedza kusarura.
• Sarudzo dzisiri dzakakosha: Wedzera imwe nzvimbo pamberi pe "N/A" kana "Sarudza kusapindura" kuti zvisiyanise nekuona.
• Nzvimbo chena yakawanda: Inoderedza kuneta kwekuziva uye inovandudza mazinga ekupedzisa.
• Zviratidzo zvekufambira mberi: Kune ongororo dzedhijitari, ratidza kupedzisa muzana kuchengetedza kukurudzira.
• Mobile optimization: Pamusoro pe50% yemhinduro dzeongororo ikozvino dzinobva kumidziyo yenhare. Edzai zvakasimba.

Nhanho 4: Ita Rigorous Pilot Test

Bhenji Research Center inoshandisa yakadzama pre-yedzo kuburikidza nekubvunzurudza kwekuziva, mapoka ekutarisa, uye ongororo yevatyairi vasati vatumirwa kuzere. Izvi zvinobata mazwi asina kujeka, mafomati anovhiringa, uye nyaya dzehunyanzvi dzinoparadza mhando yedata.

Pilot bvunzo ine 10-15 chinangwa chevamiriri vehuwandu. Yera nguva yekupedzisa, tsvaga mibvunzo isina kujeka, ongorora mafambiro ane musoro, uye unganidza mhinduro yemhando kuburikidza nekutevera hurukuro. Dzokorora zvakare kusvikira kuvhiringidzika kwapera.

Nhanho 5: Shandisai Ne Strategic Distribution

Nzira yekuparadzira inokanganisa mhinduro uye kunaka kwedata. Sarudza zvichienderana nevateereri vako uye kunzwisiswa kwezviri mukati:

• Digital ongororo: Inokurumidza, inodhura-inoshanda, yakanakira scalability uye chaiyo-nguva data.
• Kugovera email: Kusvika kwepamusoro, sarudzo dzemunhu, trackable metrics.
• In-person administration: Mareti ekupindura akakwira, kujekeswa nekukasira, zvirinani kune misoro yakaoma.

Pro engagement tip: Shandisa inodyidzana ongororo mapuratifomu anobvumira synchronous uye asynchronous kutora chikamu uye nekukasira mhedzisiro yekuona. Zvishandiso zvakaita seAhaSlides inogona kuva yakanaka.

Nhanho yechitanhatu: Ongorora Dhata NeStatistical Rigor

Unganidza mhinduro zvakarongeka uchishandisa spreadsheet software kana maturusi ekuongorora. Tarisa kuti hapana data, kunze, uye kusawirirana usati waenderera.

Pamibvunzo yakavharwa, verenga mafrequency, maperesenti, nzira, uye modhi. Kuti uwane mhinduro dzakavhurika, shandisa thematic coding kuti uone mapatani. Shandisa cross-tabulation kuratidza hukama pakati pezvakasiyana. Zvinyorwa zvinokanganisa kududzira zvakaita seyero yemhinduro uye kumiririrwa kwevanhu.

Danho 7: Dudzira Zvakawanikwa Mukati Yenyaya Yakakodzera

Gara uchiongorora zvinangwa zvepakutanga. Ziva madingindira anowirirana uye hukama hwakakosha hwenhamba. Cherechedza zvisingakwanisi uye zvinhu zvekunze. Quote mhinduro dzemienzaniso inoratidza miono yakakosha. Ziva maburi anoda kumwe kutsvakurudza. Ipa zvakawanikwa nekuchenjerera kwakakodzera nezve generalisability.

Yakajairwa Mibvunzo Dhizaini Pitfalls (Uye Maitiro ekuadzivisa)

• Mibvunzo inotungamira: "Handiti X yakakosha?" → "X yakakosha sei kwauri?"
• Kungofungidzirwa zivo: Tsanangura tekinoroji mazwi kana acronyms-kwete munhu wese anoziva indasitiri yako jargon.
• Mhinduro dzemhinduro dzinoenderana: "0-5 makore, 5-10 makore" inokonzera kuvhiringidzika. Shandisa "0-4 makore, 5-9 makore."
• Mutauro wakarodha: "Chigadzirwa chedu chitsva" chinounza kusarura. Ramba usina kwawakarerekera.
• Hurefu hwakawandisa: Imwe neimwe miniti yekuwedzera inoderedza kupedzisa mitengo ne3-5%. Remekedza nguva yekupindura.

Maitiro ekugadzira Mibvunzo muAhaSlides

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