CN106157080A - Feed-back type questionnaire method - Google Patents

Feed-back type questionnaire method Download PDF

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Publication number
CN106157080A
CN106157080A CN201510175628.XA CN201510175628A CN106157080A CN 106157080 A CN106157080 A CN 106157080A CN 201510175628 A CN201510175628 A CN 201510175628A CN 106157080 A CN106157080 A CN 106157080A
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China
Prior art keywords
user
feed
questionnaire
back type
feedback
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Application number
CN201510175628.XA
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Chinese (zh)
Inventor
戴义贤
卢盈志
李慈晏
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ABUNNO Co Ltd
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ABUNNO Co Ltd
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Priority to CN201510175628.XA priority Critical patent/CN106157080A/en
Publication of CN106157080A publication Critical patent/CN106157080A/en
Withdrawn legal-status Critical Current

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Abstract

The invention discloses a kind of feed-back type questionnaire method, particularly relate to a kind of method filling in rate and the rate of recovery improving questionnaire, predominantly carry out survey by action calculation device, wherein, identity must be first passed through and qualification authentication could obtain the qualification filling in questionnaires, to avoid repeating to fill in questionnaires or error in data, user's behavior of filling in questionnaires according to user again or fill in result and give to count or special discount, the person of filling in questionnaires is made to answer diligently, to obtain more award feedback, feed-back type questionnaire method disclosed by the invention can promote integrity degree and the degree of accuracy of questionnaire, and the wish that more initiation consumer fills in questionnaires.

Description

Feed-back type questionnaire method
Technical field
The present invention relates to a kind of feed-back type questionnaire method, it loads software in action calculation device, And analyze, by the questionnaire set by this software, the focus that user fills in questionnaires, and give suitably Feedback.
Background technology
Scientific progress, information are flourishing now, everybody hand-held intelligent mobile phone, tablet PC, consumer Formula gradually makes shopping at network into from entity StoreFront, the change great to this, allows dealer constantly think deeply How to promote consumptive power, or promoting service quality carrys out the problems such as customer retaining.
Secondly, dealer is in addition to periodically holding advertising campaign, it is desired nonetheless to understands the psychology of client and disappears Impression after taking, so all trades and professions all can prepare questionnaire table, is filled in questionnaires by client and understands visitor The reason that family is consumed, the quality of service, the inducement etc. attracting consumption, but often the rate of recovery is not high, or It is that too trouble is time-consuming, cause client to be mostly reluctant to fill in or arbitrarily fill in, so the information obtaining And imperfect, it is impossible to learn the consumer mentality of client and effective data statistics.
Current network is quite flourishing, and many dealers are filled in questionnaires by network, can not only save Save substantial amounts of file cost, more can be obtained customer data by the foundation of database and periodically provide excellent Favour information, has moved towards big data age especially now, and wherein " big data " comprise three aspects, Namely " in a large number ", " real-time " and " diversity ".So-called " in a large number ", it is simply that collect big The data of amount, and these substantial amounts of data are not long-time accumulation, when generally having only to very short Between, it is possible to collected extremely substantial amounts of data.Therefore, when " big data " are generally of very high Effect property, can obtain latest result in real time.In addition, " big data " also have so-called " diversity ", These packets are containing each type of structured and non-structured data, such as word, audio frequency, video, point Hit number and journal file etc..
Therefore, the operation of enterprise is in addition to paying attention to service, product, more adds the warp of " big data " Battalion, and focus on how to obtain customer data, consuming capacity and grasp consumption habit etc., could be effectively Lifting achievement and improve the disappearance of self.
Inventor, in order to comply with the demand of big data, develops a kind of feed-back type questionnaire method, Consumer can be attracted actively to fill in questionnaires, and provide feedback mechanism to carry out wholwe-hearted the filling in of induced consumption person to ask Volume, can not only obtain the data of consumer, also can obtain the consumption habit of consumer, thus be great The data of effect, and after consumer obtains feedback (counting or preferential), more can stimulate consumption next time, real For the questionnaire method killing two birds with one stone, show and met patent of invention important document.
Content of the invention
The invention discloses a kind of feed-back type questionnaire method, particularly relate to a kind of improve filling out of questionnaire Write the method for rate and the rate of recovery, mainly carry out survey by action calculation device, user first via This feed-back type questionnaire method is loaded on action by the mode of software-driven hardware or hardware driver software In arithmetic unit, its software loading is web browser, application software or QR code scanner etc., And open this feed-back type questionnaire method and confirm to carry out authentication or qualification, when identity and fill in After qualification confirms, user can obtain questionnaire, then fills in questionnaires, and this questionnaire content sets in advance Surely completing, answering for user, after user answers and finishes, this feed-back type questionnaire method selects In user's behavior (focus) when answering according to user of selecting property and the result that fills in questionnaires one Individual or two be analyzed, after algorithm computing, give suitable feedback (counting or preferential), make The feedback of this acquisition is stored in the memory cell of high in the clouds or action calculation device, then uses action computing Device extracts and uses, and can encourage complete the answering of user, really by such award method Express the suggestion of psychology, for dealer as the reference sold or service.
Wherein, the step of this authentication can be carried out after obtaining feedback again, if passing through certification, Recognize this feedback, otherwise then do not recognize this feedback.
During use, the first mode via software-driven hardware or hardware driver software, to load service In action calculation device, QR code can be used to obtain authentication qualification, and its authentication mode is also Can carry out with account, password or member etc., after certification is passed through, just can obtain questionnaire, now make User can carry out filling in of questionnaire, and content includes: multiple-choice question, final election topic, letter answer or question and answer The topic types such as topic, show difficulty by different topic types, and can be absorbed in as analyzing user's answer The reference data of degree, when fill in finish after, this software is according to time, the data filled in answered and answers Topic content analyzes the focus that user answers, and then gives appropriateness according to its focus calculating Feedback, this feedback is for counting or special discount, and decapacitation attracts user to make great efforts accumulation to count to exchange prize for Encourage, preferential discount also can be utilized to stimulate user to consume.
Therefore, utilize the feed-back type questionnaire method that the present invention provides, make dealer to learn and typically disappear The person of expense is for service or the true phychology of product, and answering of this consumer's motive can be got feedback in return and counted Or preferential discount, for dealer, in addition to good improvement suggestion is provided, more can grasp traveller, Increase exposure and carry out advertisement marketing etc., and for consumers, counting or preferential folding of this feedback Button can be accumulated outside use, and can periodically or non-periodically receive relevant information, to remind consumer in good time Use extra bonus, and disbursement can be saved, actually a preferable doulbe-sides' victory feedback method.
Brief description
Fig. 1 is the first pass explanatory diagram of the present invention;
Fig. 2 is the second procedure explanatory diagram of the present invention;
Fig. 3 is the schematic diagram that the present invention uses.
Description of reference numerals: 1-action calculation device;11-memory cell;2-software;20-QR code; 3-authentication;4-obtains questionnaire;40-questionnaire;5-fills in questionnaires;6-analyzes method;7-feedback; 8-stores;9-high in the clouds.
Detailed description of the invention
First, the present invention mainly carries out survey by action calculation device, is illustrated in figure 1 this The first pass explanatory diagram of invention, user first drives hardware or hardware driver software 2 via software 2 This feed-back type questionnaire method is loaded in action calculation device 1 by mode, its software 2 loading Can be web browser, application software 2 or QR code scanner etc., to show this service, connect The service opened in software 2 and confirm to carry out authentication 3 or qualification, when identity and fill in qualification Can obtain questionnaire 4 after confirmation, then fill in questionnaires 5, this questionnaire content has preset and has completed, and supplies User answers, and after user answers and finishes, software 2 is selective for this when answering according to user User's behavior (focus) or fill in and ask one of certificate 5 result, or both be together transfused to analysis side In method 6 (answering the time), after algorithm computing, give the suitable feedback of user 7 (counting or preferential), And stored 8 beyond the clouds 9 or action calculation device 1 memory cell 11 in, and can by action Arithmetic unit 1 uses, and can encourage complete the answering of user by such award method, really The real suggestion expressing psychology, for dealer as the reference sold or service.
Secondly, as in figure 2 it is shown, about the program of identity authentication 3 of the present invention, (can count in feedback 7 Or preferential) complete after carry out again, it first drives hardware or the mode of hardware driver software 2 via software 2, This service can be shown by software 2 in making action calculation device 1, then first obtain questionnaire 4, wait to fill out After writing questionnaire 5 and obtaining feedback 7 (counting or preferential) according to analysis method 6 (answering the time), then Carry out authentication 3 again, the feedback 7 (counting or preferential) being obtained can be stored 8 to high in the clouds equally 9 or action calculation device 1 memory cell 11 in, and available action calculation device 1 extracts and makes With.
During use, as shown in Figure 1 and coordinate and refer to Fig. 3, user first via software 2 drive hardware or This service is loaded in action calculation device 1 by the mode of hardware driver software 2, wherein, and this software 2 For web browser, application software or QR code scanner etc., with open service in software 2 with Carry out authentication 3 or qualification confirm, then use QR code20 to obtain authentication 3 qualification, And its authentication mode can also account, password or member etc. be carried out, after certification is passed through, just can take Obtaining questionnaire 40, now user can carry out filling in of questionnaire 40, and content includes: multiple-choice question, Multiple choice, the letter topic type such as answer or question-and-answer problem, show difficulty by different topic types, and can make For analyze method 6 user's answer focus reference data, when fill in finish after, this software 2 selects User's behavior (focus) when answering according to user of selecting property or questionnaire fill in one of result, or Both are together transfused in analysis method 6, after algorithm computing, give the feedback 7 of appropriateness, should Feedback 7 is for counting or special discount, and decapacitation attracts user to make great efforts accumulation to count with exchange for incentives, also Special discount can be utilized to stimulate user to consume.
In sum, the present invention uses the questionnaire method of a kind of feed-back type, makes dealer can learn one As user (consumer) for service or the true phychology of product, thus the adjustment runed, For dealer, can obtain outside good improvement suggestion by the present invention, more can grasp traveller, increase The exposure of dealer and carry out advertisement marketing etc., effectively understands visitor group and consumption habit, to promote entirety Achievement, and for consumers, can counting or special discount by continuous accumulation feedback, reduce The consumer cost of self, more can periodically or non-periodically receive relevant information, to remind user (consumer) In good time uses extra bonus, reaches to save the effect of expense, the actually feedback method of a kind of doulbe-sides' victory, When the patent requirement meeting invention, whence proposes patent application in accordance with the law.

Claims (3)

1. a feed-back type questionnaire method, the method is for carrying out questionnaire tune by action calculation device Look into, and there is feedback mechanism, it is characterised in that the method comprises the following steps:
(1) the first mode via software-driven hardware or hardware driver software of user is by this feed-back type questionnaire Investigation method loads in action calculation device, and opens this feed-back type questionnaire method to carry out body Part certification;
(2) identity and fill in qualification confirm after, user i.e. can obtain questionnaire and fill in questionnaires, and this is asked Volume content has preset and has completed, and answers for user;
(3) after user answers and finishes, this feed-back type questionnaire method is optionally according to user User's behavior when answering and fill in questionnaires one of result or two be analyzed, through algorithm After computing, give feedback;
(4) feedback of this acquisition is stored in the memory cell in high in the clouds or action calculation device, and can Used by action calculation device.
2. feed-back type questionnaire method according to claim 1, it is characterised in that this identity The step of certification can be carried out after obtaining feedback again, if by certification, recognizes this feedback, instead Then do not recognize this feedback.
3. feed-back type questionnaire method according to claim 1, it is characterised in that this software For web browser, application software or QR code scanner.
CN201510175628.XA 2015-04-14 2015-04-14 Feed-back type questionnaire method Withdrawn CN106157080A (en)

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Application Number Priority Date Filing Date Title
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Application Number Priority Date Filing Date Title
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107230112A (en) * 2017-07-14 2017-10-03 合肥执念网络科技有限公司 A kind of inquiry about market information system and method based on internet
WO2018209833A1 (en) * 2017-05-18 2018-11-22 深圳市前海安测信息技术有限公司 Questionnaire survey system and method having incentive model
CN109146538A (en) * 2018-06-28 2019-01-04 赵东 A kind of improved tobacco feedback criticism method and system
CN109801514A (en) * 2017-11-17 2019-05-24 洪荣昭 Digital Learning system and its control method
CN110490645A (en) * 2019-07-31 2019-11-22 广州大学 Processing method, system and the storage medium of discount data based on vending machine
CN113422834A (en) * 2021-06-30 2021-09-21 苏州众言网络科技股份有限公司 Questionnaire research method, questionnaire research device, computer equipment and storage medium
CN115086025A (en) * 2022-06-14 2022-09-20 中国农业银行股份有限公司 Electronic questionnaire management method and related device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1396788A (en) * 2002-09-03 2003-02-12 广州市正创科技有限公司 Investigation system and method based on mobile communication network
CN101510285A (en) * 2009-03-25 2009-08-19 钟明 Self-service inquisition system and inquisition method
CN101799907A (en) * 2010-03-08 2010-08-11 杜禹龙 Network advertisement propelling method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1396788A (en) * 2002-09-03 2003-02-12 广州市正创科技有限公司 Investigation system and method based on mobile communication network
CN101510285A (en) * 2009-03-25 2009-08-19 钟明 Self-service inquisition system and inquisition method
CN101799907A (en) * 2010-03-08 2010-08-11 杜禹龙 Network advertisement propelling method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018209833A1 (en) * 2017-05-18 2018-11-22 深圳市前海安测信息技术有限公司 Questionnaire survey system and method having incentive model
CN107230112A (en) * 2017-07-14 2017-10-03 合肥执念网络科技有限公司 A kind of inquiry about market information system and method based on internet
CN109801514A (en) * 2017-11-17 2019-05-24 洪荣昭 Digital Learning system and its control method
CN109801514B (en) * 2017-11-17 2021-05-04 洪荣昭 Digital learning system and control method thereof
CN109146538A (en) * 2018-06-28 2019-01-04 赵东 A kind of improved tobacco feedback criticism method and system
CN110490645A (en) * 2019-07-31 2019-11-22 广州大学 Processing method, system and the storage medium of discount data based on vending machine
CN113422834A (en) * 2021-06-30 2021-09-21 苏州众言网络科技股份有限公司 Questionnaire research method, questionnaire research device, computer equipment and storage medium
CN115086025A (en) * 2022-06-14 2022-09-20 中国农业银行股份有限公司 Electronic questionnaire management method and related device

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Application publication date: 20161123

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